GeoSAR P-band and X-band Performance In Southern California and Colombia, South America
|
|
- Andrew Glenn
- 5 years ago
- Views:
Transcription
1 GeoSAR P-band and X-band Performance In Southern California and Colombia, South America ISPRS International WG 1/2 Workshop 2005 James J Reis, EarthData Technologies Dr. Scott Hensley, Jet Propulsion Laboratory 6-10 June 2005 ISPRS Conference, Bamff, Canada 1
2 Outline GeoSAR Overview, Including Latest Upgrades NOAA Watershed Project Overview Planarmetric Accuracy (X-band) Effects of Notching P-band Transmit Waveform Anecdotal P-band Ground Penetration of Arid Soil GeoSAR Results in Colombia South America X-band vs. P-band Reflectance Differences Foliage Penetration (Early Results) GeoSAR Collection and Processing Methodology Inherent Collection Redundancy Mosaic of Multiple Looks Issues Associated with Differential Penetration 6-10 June 2005 ISPRS Conference, Bamff, Canada 2
3 GeoSAR Overview, Including Latest Upgrades 6-10 June 2005 ISPRS Conference, Bamff, Canada 3
4 Aircraft Exterior Two P-band Antennas Are Mounted On Each Wingtip And Operate Over Mhz 20m40m Dual Baseline Two X-band Antenna Are Mounted Under Each Wing Close To The Fuselage And Operate Over Mhz New 2 nd Generation Antenna Position Measurement Unit 6-10 June 2005 ISPRS Conference, Bamff, Canada 4
5 GeoSAR Data Collection X-Band (3 cm wavelength) Collection Height: 33,000 to 39,000 ft MSL P-Band (85 cm wavelength) (New) Profiling LIDAR (3 Returns, 3 Intensities) 12km 10.5 km 12km Simultaneous X-band and P-band Interferometric Radar Data Collection on Left and Right Sides of Aircraft Flight Lines up to 1200 Km in Length, 380MBs Data Rate Flight Duration Approximately 5 Hours 6-10 June 2005 ISPRS Conference, Bamff, Canada 5
6 GeoSAR Redundant Collection Methodology Collection Redundancy Project Boundary Opposite Side Looks on Project Boundary Flight Direction (Looking Down) Port Look Nadir Hole Starboard Look GeoSAR Swath Coverage Redundant Looks 6-10 June 2005 ISPRS Conference, Bamff, Canada 6
7 User User Request Request The Basic GeoSAR Process Flow ACQUISITION PROCESS PRODUCTION PROCESS FINISHING PROCESS FPS Flight Planning System Data Collection Ground Processor Mosaic & Merge DEM Editing Radar Command Disk Flight Log Radar Data dgps Data Formatting & Distribution Navigation Software GulfStream II NavCom Real Time GPS Mission & Ground Crew Air Traffic Control Frequency Permits Gnd Station Differential GPS Ground Reference (Optional) Customer Data Lidar Profiler Data 6-10 June 2005 ISPRS Conference, Bamff, Canada 7
8 LIDAR Profiler 3 Returns, 3 Intensities LIDAR Profiler Add a lidar profiler to operate at high altitude Reduces/eliminates need for ground control in remote, inaccessible or inhospitable areas. Improves accuracy of mosaicked products and DEM. Calibrated Profiles Overlaid on Reference DEM 98% 1 st Returns 27% 2 nd Returns Leica ALS40 Lidar Modified for High Altitude Profiling 6-10 June 2005 ISPRS Conference, Bamff, Canada 8
9 Profile of Hansen Dam 2-3m Spot size 3-5cm Spot Posting 3 Returns 3 Intensities 6-10 June 2005 ISPRS Conference, Bamff, Canada 9
10 Application Of Lidar Profile To Corrective Image/DEM/Mosaic Formation Swath Is Flow With SAR Lidar Cross Swath Is Flown Lidar Profile Correlated With The Swath Used in Mosaic Level Affine Adjustments 6-10 June 2005 ISPRS Conference, Bamff, Canada 10
11 Synopsis of GeoSAR Features Dual-band X & P, Dual Sided, Single Pass Interferometric 4Q05 Upgrade: 10-bit Data Samples (no compression) Dual Baseline X-band 370MBS collection Rate Two Sided Systems (GeoSAR) Collects Twice As Much Data Per Flight Distance Flown The Only Commercial IFSAR With A Co-mounted Lidar Profiler GeoSAR Flightline Spacing Yields An Additional Factor Of 2 Increase In Collection Data Redundancy LMS Mosaic Error Propagation Improves DEM Quality Without Effecting Spatial Resolution (MTF) 6-10 June 2005 ISPRS Conference, Bamff, Canada 11
12 NOAA Watershed Project Overview Emphasis on P-band 6-10 June 2005 ISPRS Conference, Bamff, Canada 12
13 NOAA Project, All Phases 315 Quads Delivered, 3m Post, 1m Vertical RMSE 6-10 June 2005 ISPRS Conference, Bamff, Canada 13
14 Problematic Measurement of Planarmetric Accuracy from Surveyed Point Location of a Survey Point to SubPixel Accuracy is Not Possible Description: NW Corner Of Parking Area On North Side Of Morales Street, Just East Of Hubbard Avenue 6-10 June 2005 ISPRS Conference, Bamff, Canada 14
15 Extended Control Feature Extraction Process ADS40 1ft TruOrtho Imagery 1 GeoSAR 3m X-band Imagery Identify Extended Feature Extract Extended Feature Vector Register Feature to X- band Imagery Label Unique Pattern Handle 6 Pattern Handle Location Information 6-10 June 2005 ISPRS Conference, Bamff, Canada 15
16 Ortho Control (Pattern-2) The closed loop patterns have high radar contrast that create many simultaneous spatial constraints. Vector Pattern Best Match ADS40 1ft GSD Natural Color TruOrtho 3m GSD X-band Imagery Blue Lines = Ortho Reference (Control) Red Lines = Best Translational Match (Radar) 6-10 June 2005 ISPRS Conference, Bamff, Canada 16
17 ADS40 1ft GSD Natural Color TruOrtho 3m GSD X-Band imagery Vector Pattern Best Match Blue Lines = Ortho Reference (Control) Red Lines = Best Translational Match (Radar) Ortho Control (Pattern-7) 6-10 June 2005 ISPRS Conference, Bamff, Canada 17
18 Scatter Plot of Residual Errors (Bias Removed) Scatter Plot of Residuals Mean(x,y) = (2.35,-1.05) Y-Displacement (m) X-Displacement (m) 6-10 June 2005 ISPRS Conference, Bamff, Canada 18
19 P-Band Frequency Management 315 Quads of Collection Area Preprogrammed waveform is notched to assure compatibility with other users of MHz frequency band. The greater the notching in an area, the lower the resolution of the P-band image; some degradation of P- band DEM. Optimal location for P- band processing is in an area where frequency usage is lowest June 2005 ISPRS Conference, Bamff, Canada 19
20 NOAA-1 P-band Transmit Waveform (Frequency Domain) Non-Notched Spectral Shape 0 NOAA-1 P-band Waveform (Frequency) Many Discrete Frequency Notches Justice Dept. Notch db MHz Bathtub Notch June 2005 ISPRS Conference, Frequency Bamff, (MHz) Canada 20
21 GeoSAR P-band Image, 5m Posting (Zoomed) Note: Imagery Is Blurred In The Range Direction Due To High Sidelobe Structure In The Transmit Waveform Increasing Range 6-10 June 2005 ISPRS Conference, Bamff, Canada 21
22 X-band Drainage (3m Posting) X_BAND_DRAIN.TIF 6-10 June 2005 ISPRS Conference, Bamff, Canada 22
23 P-band Drainage (5m Posting) P_BAND_DRAIN.TIF 6-10 June 2005 ISPRS Conference, Bamff, Canada 23
24 Linear Feature Orthophoto 6-10 June 2005 ISPRS Conference, Bamff, Canada 24
25 Linear Feature X-band vs. P-band Linear Features X_BAND_LINEAR_FEATURE_MAG.TIF P_BAND_LINEAR_FEATURE_MAG.TIF 6-10 June 2005 ISPRS Conference, Bamff, Canada 25
26 Band 742 Landsat Merged with 4m Aerial Photography Complements of Dr. Martin Insley, Senior Geologist, Infoterra Ltd. (Used with Permission) 6-10 June 2005 ISPRS Conference, Bamff, Canada 26
27 Geological Formation X-band 3m Posting Edwards_X_dem2.tif Edwards_X_mag2.tif Direction of Illumination 6-10 June 2005 ISPRS Conference, Bamff, Canada 27
28 Geological Formation P-band 5m Posting Edwards_P_dem2.tif Edwards_P_mag2.tif Direction of Illumination 6-10 June 2005 ISPRS Conference, Bamff, Canada 28
29 Profile of Geological Formation Height (m) Direction of Illumination Profile Comparison (X vs. P) NOAA_P_profile (5m posts) NOAA_X_Profile (3m Posts) Distance (m) 6-10 June 2005 ISPRS Conference, Bamff, Canada 29
30 Comparison Between P, X and X-P Band Surfaces Negative values indicate areas where P band is higher than the X band elevation Positive values indicate areas where P band is lower than the X band elevation I.e. areas with ground penetration X P Difference Surface X Band Surface P Band Surface Complements of Dr. Martin Insley, Senior Geologist, Infoterra Ltd. (Used with Permission) 6-10 June 2005 ISPRS Conference, Bamff, Canada 30
31 Comparison Between X, P and X - P Vertical Profiles Complements of Dr. Martin Insley, Senior Geologist, Infoterra Ltd. (Used with Permission) 6-10 June 2005 ISPRS Conference, Bamff, Canada 31
32 GeoSAR Results in Colombia South America 6-10 June 2005 ISPRS Conference, Bamff, Canada 32
33 Alpha Collection Pipeline Terminus X-band, 3m Post 6-10 June 2005 ISPRS Conference, Bamff, Canada 33
34 Alpha Collection Pipeline Terminus P-band, 5m Post Wave Action over 90 Second Aperture Time Distorts Pier Mulipath 6-10 June 2005 ISPRS Conference, Bamff, Canada 34
35 X-band P-band 3M 5M DEM 6-10 June 2005 ISPRS Conference, Bamff, Canada 35
36 X-band vs. P-band DEM Comparison X-band profile 6-10 June 2005 ISPRS Conference, Bamff, Canada 36
37 Pipeline Terminus, Colombia P-band, X-band, 3m 5m post 6-10 June 2005 ISPRS Conference, Bamff, Canada 37
38 P-Band Magnitude Image 6-10 June 2005 ISPRS Conference, Bamff, Canada 38
39 X-band 3m Posts XR_Line61_zoom.tif 6-10 June 2005 ISPRS Conference, Bamff, Canada 39
40 P-band 5m Posts UR_Line61_zoom.tif 6-10 June 2005 ISPRS Conference, Bamff, Canada 40
41 GeoSAR Collection and Processing Methodology 6-10 June 2005 ISPRS Conference, Bamff, Canada 41
42 GeoSAR Redundant Collection Methodology Collection Redundancy Project Boundary Opposite Side Looks on Project Boundary Flight Direction (Looking Down) Port Look Nadir Hole Starboard Look GeoSAR Swath Coverage Redundant Looks 6-10 June 2005 ISPRS Conference, Bamff, Canada 42
43 Example of Textural Banding in Nexus Data Unfiltered Spatial Filter Filtered 6-10 June 2005 ISPRS Conference, Bamff, Canada 43
44 P Band Slope Map Single-Look DEM Two-Look DEM Complements of Dr. Martin Insley, Senior Geologist, Infoterra Ltd. (Used with Permission) 6-10 June 2005 ISPRS Conference, Bamff, Canada 44
45 Radar Intensity Data Amplitudes (I,Q) Complex RF Signal Amplitude Has ~ Normal Distribution One RF Cycle (Degrees) I Q Probabality (X) Normal Probability Density Function (Amplitude of RF varies Gaussian) Intensity Value (X) Real Channel I Σ Quadrature Channel ( Q ) Magnitude I + Q 2 2 Rayleigh Probability Density Function of The Magnitude Signal 6-10 June 2005 ISPRS Conference, Bamff, Canada 45 Probabality (X) Intensity Value (X) Rayleigh
46 Comparison of Intensity Distributions Probability Density Functions (PDFs) Probabality (X) Rayleigh Normal Intensity Value (X) Optical Imagery has 2 Degrees of Freedom: Gain (Standard Deviation, σ) Brightness (Mean, µ) Normal Distribution (Optical): 2 2 { ( ) } 1 F( x) = exp x µ / 2 σ, σ 2π µ =3.0 and σ=0.66 Radar Imagery has 1 Degree of Freedom: Scaling Parameter, β Rayleigh Distribution (Radar): x 2 2 F( x) = exp 2 ( x / 2 β ), β=1.0 β 6-10 June 2005 ISPRS Conference, Bamff, Canada 46
47 Affects of Additional Looks 1st Look Mean =0.13 Stdev = 0.07 Forecast: Single Look 100,000 Trials Frequency Chart 98,438 Displayed nd Look ½ Σ Mean =0.13 Stdev = 0.05 Forecast: Double Look 100,000 Trials Frequency Chart 98,925 Displayed Mean =0.13 Stdev = /3 Σ Forecast: Triple Look 100,000 Trials Frequency Chart 99,105 Displayed rd Look June 2005 ISPRS Conference, Bamff, Canada 47
48 Histogram Comparisons 100,000 Trials Frequency Chart 98,438 Displayed Look Forecast: Single Look 2 Looks Looks As The Number Of Looks Increase, The Histogram Takes On A Decidedly More Gaussian Shape The Greatest Change Occurs from 1 to 2 Looks 3 Or More Looks Have Minimal Affect On Output Texture 6-10 June 2005 ISPRS Conference, Bamff, Canada 48
49 Signal Processing Issues In general for radar imagery, removal of textural banding in the mosaic process by gain adjustments also leads to a contrast differential (and vice versa), which in turn causes brightness banding One solution is to filter the data spatially prior to mosaicking so the amplitude statistics for adjacent regions are (more or less) identical. This, however, will show up as a loss of spatial detail in the filtered areas EarthData does not spatially filter its radar products, preferring instead to deliver to the client products with full spatial resolution over products with cosmetic improvements in viewing quality 6-10 June 2005 ISPRS Conference, Bamff, Canada 49
50 Questions? 6-10 June 2005 ISPRS Conference, Bamff, Canada 50
Configuration, Capabilities, Limitations, and Examples
FUGRO EARTHDATA, Inc. Introduction to the New GeoSAR Interferometric Radar Sensor Bill Sharp GeoSAR Regional Director - Americas Becky Morton Regional Manager Configuration, Capabilities, Limitations,
More informationEarthData International
(Part 3) EarthData International >> By Marc S. Cheves, LS I recently met with Jeff Leonard, President and General Manager of EarthData International in Frederick, Maryland, and Tom Harrington, President
More informationTHE NASA/JPL AIRBORNE SYNTHETIC APERTURE RADAR SYSTEM. Yunling Lou, Yunjin Kim, and Jakob van Zyl
THE NASA/JPL AIRBORNE SYNTHETIC APERTURE RADAR SYSTEM Yunling Lou, Yunjin Kim, and Jakob van Zyl Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive, MS 300-243 Pasadena,
More informationFlood modelling and management. Glasgow University. 8 September Paul Shaw - GeoVision
Flood modelling and management Glasgow University 8 September 2004 Paul Shaw - GeoVision How important are heights in flood modelling? Comparison of data collection technologies GPS - Global Positioning
More informationHIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING. Author: Peter Fricker Director Product Management Image Sensors
HIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING Author: Peter Fricker Director Product Management Image Sensors Co-Author: Tauno Saks Product Manager Airborne Data Acquisition Leica Geosystems
More informationACTIVE SENSORS RADAR
ACTIVE SENSORS RADAR RADAR LiDAR: Light Detection And Ranging RADAR: RAdio Detection And Ranging SONAR: SOund Navigation And Ranging Used to image the ocean floor (produce bathymetic maps) and detect objects
More informationAn Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG
An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor
More informationIntroduction Active microwave Radar
RADAR Imaging Introduction 2 Introduction Active microwave Radar Passive remote sensing systems record electromagnetic energy that was reflected or emitted from the surface of the Earth. There are also
More informationSAR Imagery: Airborne or Spaceborne? Presenter: M. Lorraine Tighe PhD
SAR Imagery: Airborne or Spaceborne? Presenter: M. Lorraine Tighe PhD Introduction The geospatial community has seen a plethora of spaceborne SAR imagery systems where there are now extensive archives
More informationPHOTOGRAMMETRIC RESECTION DIFFERENCES BASED ON LABORATORY vs. OPERATIONAL CALIBRATIONS
PHOTOGRAMMETRIC RESECTION DIFFERENCES BASED ON LABORATORY vs. OPERATIONAL CALIBRATIONS Dean C. MERCHANT Topo Photo Inc. Columbus, Ohio USA merchant.2@osu.edu KEY WORDS: Photogrammetry, Calibration, GPS,
More informationBaldwin and Mobile Counties, AL Orthoimagery Project Report. Submitted: March 23, 2016
2015 Orthoimagery Project Report Submitted: Prepared by: Quantum Spatial, Inc 523 Wellington Way, Suite 375 Lexington, KY 40503 859-277-8700 Page i of iii Contents Project Report 1. Summary / Scope...
More informationRADAR (RAdio Detection And Ranging)
RADAR (RAdio Detection And Ranging) CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE Real
More informationUsing Frequency Diversity to Improve Measurement Speed Roger Dygert MI Technologies, 1125 Satellite Blvd., Suite 100 Suwanee, GA 30024
Using Frequency Diversity to Improve Measurement Speed Roger Dygert MI Technologies, 1125 Satellite Blvd., Suite 1 Suwanee, GA 324 ABSTRACT Conventional antenna measurement systems use a multiplexer or
More informationPrototype Software-based Receiver for Remote Sensing using Reflected GPS Signals. Dinesh Manandhar The University of Tokyo
Prototype Software-based Receiver for Remote Sensing using Reflected GPS Signals Dinesh Manandhar The University of Tokyo dinesh@qzss.org 1 Contents Background Remote Sensing Capability System Architecture
More informationPhase One 190MP Aerial System
White Paper Phase One 190MP Aerial System Introduction Phase One Industrial s 100MP medium format aerial camera systems have earned a worldwide reputation for its high performance. They are commonly used
More informationSARscape Modules for ENVI
Visual Information Solutions SARscape Modules for ENVI Read, process, analyze, and output products from SAR data. ENVI. Easy to Use Tools. Proven Functionality. Fast Results. DEM, based on TerraSAR-X-1
More informationDetection of traffic congestion in airborne SAR imagery
Detection of traffic congestion in airborne SAR imagery Gintautas Palubinskas and Hartmut Runge German Aerospace Center DLR Remote Sensing Technology Institute Oberpfaffenhofen, 82234 Wessling, Germany
More informationOBSERVATION PERFORMANCE OF A PARIS ALTIMETER IN-ORBIT DEMONSTRATOR
OBSERVATION PERFORMANCE OF A PARIS ALTIMETER IN-ORBIT DEMONSTRATOR Salvatore D Addio, Manuel Martin-Neira Acknowledgment to: Nicolas Floury, Roberto Pietro Cerdeira TEC-ETP, ETP, Electrical Engineering
More informationGEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11
GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11 Global Positioning Systems GPS is a technology that provides Location coordinates Elevation For any location with a decent view of the sky
More informationGovt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS
Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS Time: Max. Marks: Q1. What is remote Sensing? Explain the basic components of a Remote Sensing system. Q2. What is
More informationAcknowledgment. Process of Atmospheric Radiation. Atmospheric Transmittance. Microwaves used by Radar GMAT Principles of Remote Sensing
GMAT 9600 Principles of Remote Sensing Week 4 Radar Background & Surface Interactions Acknowledgment Mike Chang Natural Resources Canada Process of Atmospheric Radiation Dr. Linlin Ge and Prof Bruce Forster
More informationValidation of the QuestUAV PPK System
Validation of the QuestUAV PPK System 3cm in xy, 400ft, no GCPs, 100Ha, 25 flights Nigel King 1, Kerstin Traut 2, Cameron Weeks 3 & Ruairi Hardman 4 1 Director QuestUAV, 2 Data Analyst QuestUAV, 3 Production
More informationTHREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES ABSTRACT INTRODUCTION
THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES Trina Kuuskivi Manager of Value Added Products and Services, Intermap Technologies Corp. 2 Gurdwara Rd, Suite 200, Ottawa,
More informationPrinciples of Remote Sensing. Shuttle Radar Topography Mission S R T M. Michiel Damen. Dept. Earth Systems Analysis
Principles of Remote Sensing Shuttle Radar Topography Mission S R T M Michiel Damen Dept. Earth Systems Analysis Contents Present problems with DEMs Advantage of SRTM Cell size Mission and system Radar
More informationDesign of an Airborne SLAR Antenna at X-Band
Design of an Airborne SLAR Antenna at X-Band Markus Limbach German Aerospace Center (DLR) Microwaves and Radar Institute Oberpfaffenhofen WFMN 2007, Markus Limbach, Folie 1 Overview Applications of SLAR
More informationNAVIGATION AND REMOTE SENSING PAYLOADS AND METHODS OF THE SARVANT UNMANNED AERIAL SYSTEM
NAVIGATION AND REMOTE SENSING PAYLOADS AND METHODS OF THE SARVANT UNMANNED AERIAL SYSTEM P. Molina, P. Fortuny, I. Colomina Institute of Geomatics -- Castelldefels (ES) M. Remy, K.A.C. Macedo, Y.R.C. Zúnigo,
More informationThe Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office
The Normal Baseline Dick Gent Law of the Sea Division UK Hydrographic Office 2 The normal baseline for measuring the breadth of the territorial sea is the low water line along the coast as marked on large
More informationSynthetic aperture RADAR (SAR) principles/instruments October 31, 2018
GEOL 1460/2461 Ramsey Introduction to Remote Sensing Fall, 2018 Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018 I. Reminder: Upcoming Dates lab #2 reports due by the start of next
More informationCanImage. (Landsat 7 Orthoimages at the 1: Scale) Standards and Specifications Edition 1.0
CanImage (Landsat 7 Orthoimages at the 1:50 000 Scale) Standards and Specifications Edition 1.0 Centre for Topographic Information Customer Support Group 2144 King Street West, Suite 010 Sherbrooke, QC
More informationA Bistatic HF Radar for Current Mapping and Robust Ship Tracking
A Bistatic HF Radar for Current Mapping and Robust Ship Tracking D. B. Trizna Imaging Science Research, Inc. 6103B Virgo Court Burke, VA, 22015 USA Abstract- A bistatic HF radar has been developed for
More informationInterferometric Cartwheel 1
The Interferometric CartWheel A wheel of passive radar microsatellites for upgrading existing SAR projects D. Massonnet, P. Ultré-Guérard (DPI/EOT) E. Thouvenot (DTS/AE/INS/IR) Interferometric Cartwheel
More informationBasic Digital Image Processing. The Structure of Digital Images. An Overview of Image Processing. Image Restoration: Line Drop-outs
Basic Digital Image Processing A Basic Introduction to Digital Image Processing ~~~~~~~~~~ Rev. Ronald J. Wasowski, C.S.C. Associate Professor of Environmental Science University of Portland Portland,
More informationThe SARTOM Project; Tomography for enhanced target detection for foliage penetrating airborne SAR (First-Year Results)
The SARTOM Project; Tomography for enhanced target detection for foliage penetrating airborne SAR (First-Year Results) Ralf Horn 1, Jens Fischer 1, Armando Marino 2, Matteo Nannini 1, Kim Partington 3,
More informationTransponder Based Ranging
Transponder Based Ranging Transponderbasierte Abstandsmessung Gerrit Kalverkamp, Bernhard Schaffer Technische Universität München Outline Secondary radar principle Looking around corners: Diffraction of
More informationPhase One ixu-rs1000 Accuracy Assessment Report Yu. Raizman, PhaseOne.Industrial, Israel
17 th International Scientific and Technical Conference FROM IMAGERY TO DIGITAL REALITY: ERS & Photogrammetry Phase One ixu-rs1000 Accuracy Assessment Report Yu. Raizman, PhaseOne.Industrial, Israel 1.
More informationCalibration Concepts of Multi-Channel Spaceborne SAR
DLR.de Chart 1 > CEOS Workshop 2016 > Tobias Rommel > September 7 th, 2016 Calibration Concepts of Multi-Channel Spaceborne SAR T. Rommel, F. Queiroz de Almeida, S. Huber, M. Jäger, G. Krieger, C. Laux,
More informationWarren Cartwright, Product Manager MDA Geospatial Services, Canada
Advanced InSAR Techniques for Urban Infrastructure Monitoring Warren Cartwright, Product Manager MDA Geospatial Services, Canada www.mdacorporation.com RESTRICTION ON USE, PUBLICATION OR DISCLOSURE OF
More informationremote sensing? What are the remote sensing principles behind these Definition
Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared
More informationAIR ROUTE SURVEILLANCE 3D RADAR
AIR TRAFFIC MANAGEMENT AIR ROUTE SURVEILLANCE 3D RADAR Supplying ATM systems around the world for more than 30 years indracompany.com ARSR-10D3 AIR ROUTE SURVEILLANCE 3D RADAR ARSR 3D & MSSR Antenna Medium
More informationAerial photography: Principles. Frame capture sensors: Analog film and digital cameras
Aerial photography: Principles Frame capture sensors: Analog film and digital cameras Overview Introduction Frame vs scanning sensors Cameras (film and digital) Photogrammetry Orthophotos Air photos are
More informationLecture 3 Digital image processing.
Lecture 3 Digital image processing. MI_L3 1 Analog image digital image 2D image matrix of pixels scanner reflection mode analog-to-digital converter (ADC) digital image MI_L3 2 The process of converting
More informationRadar Imagery for Forest Cover Mapping
Purdue University Purdue e-pubs LARS Symposia Laboratory for Applications of Remote Sensing 1-1-1981 Radar magery for Forest Cover Mapping D. J. Knowlton R. M. Hoffer Follow this and additional works at:
More informationAustralian Wind Profiler Network and Data Use in both Operational and Research Environments
Australian Wind Profiler Network and Data Use in both Operational and Research Environments Bronwyn Dolman 1,2 and Iain Reid 1,2 1 ATRAD Pty Ltd 20 Phillips St Thebarton South Australia www.atrad.com.au
More informationDEM GENERATION WITH WORLDVIEW-2 IMAGES
DEM GENERATION WITH WORLDVIEW-2 IMAGES G. Büyüksalih a, I. Baz a, M. Alkan b, K. Jacobsen c a BIMTAS, Istanbul, Turkey - (gbuyuksalih, ibaz-imp)@yahoo.com b Zonguldak Karaelmas University, Zonguldak, Turkey
More informationVisionMap A3 Edge A Single Camera for Multiple Solutions
Photogrammetric Week '15 Dieter Fritsch (Ed.) Wichmann/VDE Verlag, Belin & Offenbach, 2015 Raizman, Gozes 57 VisionMap A3 Edge A Single Camera for Multiple Solutions Yuri Raizman, Adi Gozes, Tel-Aviv ABSTRACT
More informationSea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements
Sea Surface Backscatter Distortions of Scanning Radar Altimeter Ocean Wave Measurements Edward J. Walsh and C. Wayne Wright NASA Goddard Space Flight Center Wallops Flight Facility Wallops Island, VA 23337
More informationLeica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008
Luzern, Switzerland, acquired at 5 cm GSD, 2008. Leica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008 Shawn Slade, Doug Flint and Ruedi Wagner Leica Geosystems AG, Airborne
More informationNEXTMAP. P-Band. Airborne Radar Imaging Technology. Key Benefits & Features INTERMAP.COM. Answers Now
INTERMAP.COM Answers Now NEXTMAP P-Band Airborne Radar Imaging Technology Intermap is proud to announce the latest advancement of their Synthetic Aperture Radar (SAR) imaging technology. Leveraging over
More informationPhotogrammetry. Lecture 4 September 7, 2005
Photogrammetry Lecture 4 September 7, 2005 What is Photogrammetry Photogrammetry is the art and science of making accurate measurements by means of aerial photography: Analog photogrammetry (using films:
More informationWide Swath Simultaneous Measurements of Winds and Ocean Surface Currents
Wide Swath Simultaneous Measurements of Winds and Ocean Surface Currents Ernesto Rodriguez Jet Propulsion Laboratory California Institute of Technology 1 Thanks! The JPL DFS/ERM team for design of the
More informationSynthetic Aperture Radar
Synthetic Aperture Radar Picture 1: Radar silhouette of a ship, produced with the ISAR-Processor of the Ocean Master A Synthetic Aperture Radar (SAR), or SAR, is a coherent mostly airborne or spaceborne
More informationCamera Calibration Certificate No: DMC III 27542
Calibration DMC III Camera Calibration Certificate No: DMC III 27542 For Peregrine Aerial Surveys, Inc. #201 1255 Townline Road Abbotsford, B.C. V2T 6E1 Canada Calib_DMCIII_27542.docx Document Version
More informationAPPLICATIONS AND LESSONS LEARNED WITH AIRBORNE MULTISPECTRAL IMAGING
APPLICATIONS AND LESSONS LEARNED WITH AIRBORNE MULTISPECTRAL IMAGING James M. Ellis and Hugh S. Dodd The MapFactory and HJW Walnut Creek and Oakland, California, U.S.A. ABSTRACT Airborne digital frame
More informationHigh Fidelity 3D Reconstruction
High Fidelity 3D Reconstruction Adnan Ansar, California Institute of Technology KISS Workshop: Gazing at the Solar System June 17, 2014 Copyright 2014 California Institute of Technology. U.S. Government
More information9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011
Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys
More informationOLC Turnbull. wsidata.com
OLC Turnbull wsidata.com August 26, 2013 Base station set up over control TURN_03 Data collected for: Department of Geology and Mineral Industries 800 NE Oregon Street Suite 965 Portland, OR 97232 Prepared
More informationEVLA System Commissioning Results
EVLA System Commissioning Results EVLA Advisory Committee Meeting, March 19-20, 2009 Rick Perley EVLA Project Scientist t 1 Project Requirements EVLA Project Book, Chapter 2, contains the EVLA Project
More informationProcessing of stereo scanner: from stereo plotter to pixel factory
Photogrammetric Week '03 Dieter Fritsch (Ed.) Wichmann Verlag, Heidelberg, 2003 Bignone 141 Processing of stereo scanner: from stereo plotter to pixel factory FRANK BIGNONE, ISTAR, France ABSTRACT With
More informationThe BYU microsar System
The BYU microsar System David G. Long BYU Center for Remote Sensing, Microwave Earth Remote Sensing Laboratory Electrical and Computer Engineering Dept., Brigham Young University 459 Clyde Building, Provo,
More informationAdaptive SAR Results with the LiMIT Testbed
Adaptive SAR Results with the LiMIT Testbed Gerald Benitz Adaptive Sensor Array Processing Workshop 7 June 2005 999999-1 Outline LiMIT collection platform SAR sidelobe recovery Electronic Protection (EP)
More informationCEGEG046 / GEOG3051 Principles & Practice of Remote Sensing (PPRS) 8: RADAR 1
CEGEG046 / GEOG3051 Principles & Practice of Remote Sensing (PPRS) 8: RADAR 1 Dr. Mathias (Mat) Disney UCL Geography Office: 113, Pearson Building Tel: 7670 05921 Email: mdisney@ucl.geog.ac.uk www.geog.ucl.ac.uk/~mdisney
More informationMSB Imagery Program FAQ v1
MSB Imagery Program FAQ v1 (F)requently (A)sked (Q)uestions 9/22/2016 This document is intended to answer commonly asked questions related to the MSB Recurring Aerial Imagery Program. Table of Contents
More informationDECISION NUMBER FOURTEEN TO THE TREATY ON OPEN SKIES
DECISION NUMBER FOURTEEN TO THE TREATY ON OPEN SKIES OSCC.DEC 14 12 October 1994 METHODOLOGY FOR CALCULATING THE MINIMUM HEIGHT ABOVE GROUND LEVEL AT WHICH EACH VIDEO CAMERA WITH REAL TIME DISPLAY INSTALLED
More informationPOWERGPS : A New Family of High Precision GPS Products
POWERGPS : A New Family of High Precision GPS Products Hiroshi Okamoto and Kazunori Miyahara, Sokkia Corp. Ron Hatch and Tenny Sharpe, NAVCOM Technology Inc. BIOGRAPHY Mr. Okamoto is the Manager of Research
More informationRADAR INTERFEROMETRY FOR SAFE COAL MINING IN CHINA
RADAR INTERFEROMETRY FOR SAFE COAL MINING IN CHINA L. Ge a, H.-C. Chang a, A. H. Ng b and C. Rizos a Cooperative Research Centre for Spatial Information School of Surveying & Spatial Information Systems,
More informationContributions of the Remote Sensing by Earth Observation Satellites on Engineering Geology
10th Asian Regional Conference of IAEG (2015) Contributions of the Remote Sensing by Earth Observation Satellites on Engineering Geology Takeo TADONO (1), Hiroto NAGAI (1), Atsuko NONOMURA (2) and Ryoichi
More informationSODAR- sonic detecting and ranging
Active Remote Sensing of the PBL Immersed vs. remote sensors Active vs. passive sensors RADAR- radio detection and ranging WSR-88D TDWR wind profiler SODAR- sonic detecting and ranging minisodar RASS RADAR
More informationMobile Radio Propagation Channel Models
Wireless Information Transmission System Lab. Mobile Radio Propagation Channel Models Institute of Communications Engineering National Sun Yat-sen University Table of Contents Introduction Propagation
More informationOLC West Metro. wsidata.com
OLC West Metro wsidata.com February 19, 2013 Hillsboro Airport, LiDAR point cloud Data collected for: Department of Geology and Mineral Industries 800 NE Oregon Street Suite 965 Portland, OR 97232 Prepared
More informationLecture 8: GIS Data Error & GPS Technology
Lecture 8: GIS Data Error & GPS Technology A. Introduction We have spent the beginning of this class discussing some basic information regarding GIS technology. Now that you have a grasp of the basic terminology
More informationIMPACT OF BAQ LEVEL ON INSAR PERFORMANCE OF RADARSAT-2 EXTENDED SWATH BEAM MODES
IMPACT OF BAQ LEVEL ON INSAR PERFORMANCE OF RADARSAT-2 EXTENDED SWATH BEAM MODES Jayson Eppler (1), Mike Kubanski (1) (1) MDA Systems Ltd., 13800 Commerce Parkway, Richmond, British Columbia, Canada, V6V
More informationUse of ground based radar to monitor the effect of increased axle loading on rail bridges. Evgeny Shilov. IDS GeoRadar
Use of ground based radar to monitor the effect of increased axle loading on rail bridges aa Evgeny Shilov IDS GeoRadar Background of Techniques All rights reserved to IDS GeoRadar 2 Radar technology Radar
More informationFive Sensors, One Day: Unmanned vs. Manned Logistics and Accuracy
Five Sensors, One Day: Unmanned vs. Manned Logistics and Accuracy ASPRS UAS Mapping Technical Symposium Sept 13 th, 2016 Presenter: David Day, CP, GISP Keystone Aerial Surveys, Inc. Summary of activities
More informationEnsoMOSAIC Aerial mapping tools
EnsoMOSAIC Aerial mapping tools Jakarta and Kuala Lumpur, 2013 Contents MosaicMill MM Application examples Software introduction System introduction Rikola HS sensor UAV platform examples SW Syst HS UAV
More informationANALYSIS OF REPEATED ICESAT FULL WAVEFORM DATA: METHODOLOGY AND LEAF-ON / LEAF-OFF COMPARISON
ANALYSIS OF REPEATED ICESAT FULL WAVEFORM DATA: METHODOLOGY AND LEAF-ON / LEAF-OFF COMPARISON Hieu Duong 1 Norbert Pfeifer 2 Roderik Lindenbergh 1 1 1: DEOS, MGP-FRS, 2: University of Innsbruck, Institute
More informationHyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances
Hyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances Arnold Kravitz 8/3/2018 Patent Pending US/62544811 1 HSI and
More informationRADAR REMOTE SENSING
RADAR REMOTE SENSING Jan G.P.W. Clevers & Steven M. de Jong Chapter 8 of L&K 1 Wave theory for the EMS: Section 1.2 of L&K E = electrical field M = magnetic field c = speed of light : propagation direction
More informationUAVSAR in Africa. Quality Assurance and Preliminary Results. Brian Hawkins, UAVSAR Team
Photo by Sassan Saatchi UAVSAR in Africa Quality Assurance and Preliminary Results Brian Hawkins, UAVSAR Team CEOS SAR Cal/Val Workshop 2016 Copyright 2016 California Institute of Technology. Government
More informationVisionMap Sensors and Processing Roadmap
Vilan, Gozes 51 VisionMap Sensors and Processing Roadmap YARON VILAN, ADI GOZES, Tel-Aviv ABSTRACT The A3 is a family of digital aerial mapping cameras and photogrammetric processing systems, which is
More informationRemote Sensing. Ch. 3 Microwaves (Part 1 of 2)
Remote Sensing Ch. 3 Microwaves (Part 1 of 2) 3.1 Introduction 3.2 Radar Basics 3.3 Viewing Geometry and Spatial Resolution 3.4 Radar Image Distortions 3.1 Introduction Microwave (1cm to 1m in wavelength)
More informationDetection of Multipath Propagation Effects in SAR-Tomography with MIMO Modes
Detection of Multipath Propagation Effects in SAR-Tomography with MIMO Modes Tobias Rommel, German Aerospace Centre (DLR), tobias.rommel@dlr.de, Germany Gerhard Krieger, German Aerospace Centre (DLR),
More informationOn spatial resolution
On spatial resolution Introduction How is spatial resolution defined? There are two main approaches in defining local spatial resolution. One method follows distinction criteria of pointlike objects (i.e.
More informationStatus of MOLI development MOLI (Multi-footprint Observation Lidar and Imager)
Status of MOLI development MOLI (Multi-footprint Observation Lidar and Imager) Tadashi IMAI, Daisuke SAKAIZAWA, Jumpei MUROOKA and Toshiyoshi KIMURA JAXA 1 Outline of This Presentation 1. Overview of MOLI
More informationSPREAD SPECTRUM CHANNEL MEASUREMENT INSTRUMENT
SPACE SPREAD SPECTRUM CHANNEL MEASUREMENT INSTRUMENT Satellite communications, earth observation, navigation and positioning and control stations indracompany.com SSCMI SPREAD SPECTRUM CHANNEL MEASUREMENT
More informationPersistent Scatterer InSAR
Persistent Scatterer InSAR Andy Hooper University of Leeds Synthetic Aperture Radar: A Global Solution for Monitoring Geological Disasters, ICTP, 2 Sep 2013 Good Interferogram 2011 Tohoku earthquake Good
More informationGeo-localization and Mosaicing System (GEMS): Enabling Precision Image Feature Location and Rapid Mosaicing General:
Geo-localization and Mosaicing System (GEMS): Enabling Precision Image Feature Location and Rapid Mosaicing General: info@senteksystems.com www.senteksystems.com 12/6/2014 Precision Agriculture Multi-Spectral
More informationS1-B N-Cyclic Performance Report Cycles 43 to 46 (03-July-2017 to 20-August-2017)
S-1 MPC Cycles 43 to 46 (03-July-2017 to 20-August-2017) Reference: Nomenclature: MPC-0356 DI-MPC-NPR Issue: 2017-03. 5 Date: 2017,Sep.01 FORM-NT-GB-10-0 2017,Sep.01 i.1 Chronology Issues: Issue: Date:
More informationIBIS range. GeoRadar Division. GeoRadar Division. Static and Dynamic Monitoring of Civil Engineering Structures by Microwave Interferometry
Static and Dynamic Monitoring of Civil Engineering Structures by Microwave Interferometry Garry Spencer and Mark Bell 1 PRODUCTS IBIS range APPLICATIONS IBIS - FL LANDSLIDE & DAM MONITORING IBIS - FM SLOPE
More informationSoil moisture retrieval using ALOS PALSAR
Soil moisture retrieval using ALOS PALSAR T. J. Jackson, R. Bindlish and M. Cosh USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD J. Shi University of California Santa Barbara, CA November 6,
More informationMODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA
MODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA 1. Introduction Availability of a reasonably accurate elevation information for many parts of the world was once very much limited. Dense
More informationANALYSIS OF SRTM HEIGHT MODELS
ANALYSIS OF SRTM HEIGHT MODELS Sefercik, U. *, Jacobsen, K.** * Karaelmas University, Zonguldak, Turkey, ugsefercik@hotmail.com **Institute of Photogrammetry and GeoInformation, University of Hannover,
More informationTowards a Polarimetric SAR Processor for Airborne Sensor
PIERS ONLINE, VOL. 6, NO. 5, 2010 465 Towards a Polarimetric SAR Processor for Airborne Sensor H. M. J. Cantalloube 1, B. Fromentin-Denoziere 1, and C. E. Nahum 2 1 ONERA (Office National d Études et Recherches
More informationHiFi Radar Target. Kristian Karlsson (RISE)
HiFi Radar Target Kristian Karlsson (RISE) Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering
More informationHIGH RESOLUTION STEREO SATELLITE ELEVATION MAPPING ACCURACY ASSESSMENT INTRODUCTION
HIGH RESOLUTION STEREO SATELLITE ELEVATION MAPPING ACCURACY ASSESSMENT Gerry Mitchell, P. Geo, Geophysicist, President PhotoSat Information Ltd. Vancouver, BC V6E 3S7 gerry@photosat.ca Kevin MacNabb, Geophysicist,
More informationLow frequency SAR data-dome collection with the Bright Sapphire II instrument
Low frequency SAR data-dome collection with the Bright Sapphire II instrument Specialists meeting on Remote Intelligence of Building Interiors Sam DOODY May 2017 Low Frequency Airborne SAR Justification
More informationImaging radar Imaging radars provide map-like coverage to one or both sides of the aircraft.
CEE 6100 / CSS 6600 Remote Sensing Fundamentals 1 Imaging radar Imaging radars provide map-like coverage to one or both sides of the aircraft. Acronyms: RAR real aperture radar ("brute force", "incoherent")
More informationDEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS. Karsten Jacobsen. University of Hannover, Germany
DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS Karsten Jacobsen University of Hannover, Germany jacobsen@ipi.uni-hannover.de Key words: DEM, space images, SRTM InSAR, quality assessment ABSTRACT
More informationIntroduction to Radar Systems. The Radar Equation. MIT Lincoln Laboratory _P_1Y.ppt ODonnell
Introduction to Radar Systems The Radar Equation 361564_P_1Y.ppt Disclaimer of Endorsement and Liability The video courseware and accompanying viewgraphs presented on this server were prepared as an account
More informationSKA1 low Baseline Design: Lowest Frequency Aspects & EoR Science
SKA1 low Baseline Design: Lowest Frequency Aspects & EoR Science 1 st science Assessment WS, Jodrell Bank P. Dewdney Mar 27, 2013 Intent of the Baseline Design Basic architecture: 3-telescope, 2-system
More informationNetworked Radar System: Waveforms, Signal Processing and. Retrievals for Volume Targets. Proposal for Dissertation.
Proposal for Dissertation Networked Radar System: Waeforms, Signal Processing and Retrieals for Volume Targets Nitin Bharadwaj Colorado State Uniersity Department of Electrical and Computer Engineering
More information