RADARSAT-2/RCM Synthetic Aperture Radar data exploitation for military geomatics via ArcGIS
|
|
|
- Clara Shaw
- 5 years ago
- Views:
Transcription
1 RADARSAT-2/RCM Synthetic Aperture Radar data exploitation for military geomatics via ArcGIS Presented by: Greg Barrie, Defence Scientist, DRDC Ottawa October 17, 2018
2 Defence R&D Canada (DRDC) What we do: - Provide expert S&T knowledge and advice to DND - Contribute to success of military operations - Help create and maintain a Canadian defence S&T industrial capability Eight research centers; various specializations - Ottawa Lab: Radar, EW, Comms, Space systems - Esri user since 2009
3 Project Description Enable greater uptake of Synthetic Aperture Radar (SAR) info SAR proven ISR asset (technical; hard to interpret) Objective is to help Geo Techs incorporate SAR data i.e., Fusion of SAR-derived data w/ GIS map layers Developed Esri add-in RADARSAT Toolbar for ArcGIS - Ingest RS-2/RCM imagery and metadata - Performs a variety of SAR image processing tasks
4 ArcMap screen
5 Toolbar and User Interface Semi-automated shoreline extraction Select image/ polarization Distributed Target Analysis Quad Polarization Bridge Height Tower Height Shoreline Extraction Edge Detection Image Information Pixel Information Range & Azimuth Orthorectification SLC Oversampling Point Target Analysis Set speckle filter and parameters Max size of pixel clusters (noise removal)
6 Shoreline Extraction (1/2) Original image RS Toolbar output Overlay
7 Shoreline (2/2) Feature Extraction Map layer Mock-up of intel product Comparison of RS-2 quad-pol data from 2015 and 2009
8 Bridge Clearance MacKay Bridge, Halifax Reported: 49 ±2m; known value: 46.9m
9 Tower Height Papenburg, Germany Reported: 351 ±2m, 352 ±2m; known value: 352.8m
10 System Environment Hardware - Processor speed: 2.2 GHz minimum; x86 or x64 with SSE2 extensions - 4 GB minimum memory; Video / graphics adapter: 512 MB minimum RAM, 1 GB RAM or higher recommended ArcGIS ; Spatial Analyst Add-in written in C#; customized GDAL Ingest metadata via RS-2 product.xml
11 Benefits ArcMap good platform to deliver specialized image processing capability; common tool across all government RADARSAT Toolbar fills a capability gap both within DND/GoC and commercially (SAR processing NOT the same as EO) What were we able to achieve? - RS Toolbar provides an interface between S&T experts and military Image Analysts and Geo Techs - SAR data exploitation becomes simply another map layer
12 Challenges Written for 10.3; will not work in 10.5 or 10.6 (!) IT group will have to set permissions for r/w access not always easy in a secure/controlled environment Not fully robust at the moment; there are DLLs and platform dependencies to be sorted out RS Toolbar is an excellent start at bringing SAR exploitation to non-experts
13 Future Plans Increased capabilities - Ingest data in RCM format - Amplitude and Coherent Change Detection (ACD/CCD) - Terrain analysis and classification Interest / development with other Gov t of Canada departments? Partnering with Esri?
14 2015 Esri Canada Limited. All rights reserved. Trademarks provided under license from Environmental Systems Research Institute, Inc. Other product and company names mentioned herein may be trademarks or registered trademarks of their respective owners. Errors and omissions excepted. RADARSAT-2 Data and Products Macdonald, Dettwiler and Associates Ltd. ( ) all Rights Reserved. RADARSAT is an official trademark of the Canadian Space Agency.
15
ENVI Orthorectification Module
Visual Information Solutions ENVI Orthorectification Module Orthorectify Your Imagery Quickly and Easily. Rigorous Orthorectification. Simple Workflow. Trusted Method. The Need for Orthorectification Satellite
SENTINEL-1 Toolbox. Polarimetric Tutorial Issued March 2015 Updated August Luis Veci
SENTINEL-1 Toolbox Polarimetric Tutorial Issued March 2015 Updated August 2016 Luis Veci Copyright 2015 Array Systems Computing Inc. http://www.array.ca/ http://step.esa.int Polarimetric Tutorial The goal
The Role of RADARSAT-2 for Flood and Agriculture Monitoring
The Role of RADARSAT-2 for Flood and Agriculture Monitoring Gordon Staples MDA Richmond, BC, CANADA gstaples@mda.ca RESTRICTION ON USE, PUBLICATION OR DISCLOSURE OF PROPRETIARY INFORMATION This document
IMPACT 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
SAR Othorectification and Mosaicking
White Paper SAR Othorectification and Mosaicking John Wessels: Senior Scientist PCI Geomatics SAR Othorectification and Mosaicking This study describes the high-speed orthorectification and mosaicking
RADAR ANALYST WORKSTATION MODERN, USER-FRIENDLY RADAR TECHNOLOGY IN ERDAS IMAGINE
RADAR ANALYST WORKSTATION MODERN, USER-FRIENDLY RADAR TECHNOLOGY IN ERDAS IMAGINE White Paper December 17, 2014 Contents Introduction... 3 IMAGINE Radar Mapping Suite... 3 The Radar Analyst Workstation...
ENVI Orthorectification Module
ENVI Orthorectification Module Orthorectify your imagery quickly and easily. CREASO - your partner for visual information solutions Rigorous Orthorectification. Simple Workflow. Trusted Method. The Need
Warren 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
SARscape 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
The RCAF S&T program and the All Domain
The RCAF S&T program and the All Domain Situational Awareness (ADSA) S&T Program) CADSI AIR FORCE Martin McKinnon Director S&T Air (DSTA-3) Assistant Deputy Minister, Science and Technology Department
Using Imagery for Intelligence Analysis. Jim Michel Renee Bernstein
Using Imagery for Intelligence Analysis Jim Michel Renee Bernstein Deriving Value from GIS and Imagery Capabilities Evolved Along Separate but Parallel Paths GIS Imagery brings value Imagery Contextual
RADARSAT-2 Modes and Applications
RADARSAT-2 Modes and Applications Gordon Staples MDA Geospatial Services February 6, 2017 1 Introduction RADARSAT-2 was developed to meet operational needs via a versatile space segment and a responsive
COPERNICUS COLLABORATIVE GROUND SEGMENT TO SUPPORT MARITIME SITUATIONAL AWARENESS
COPERNICUS COLLABORATIVE GROUND SEGMENT TO SUPPORT MARITIME SITUATIONAL AWARENESS D. Krause*, E. Schwarz, H. Damerow, German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Kalkhorstweg
Technical Notes LAND MAPPING APPLICATIONS. Leading the way with increased reliability.
LAND MAPPING APPLICATIONS Technical Notes Leading the way with increased reliability. Industry-leading post-processing software designed to maximize the accuracy potential of your POS LV (Position and
The Radar Ortho Suite is an add-on to Geomatica. It requires Geomatica Core or Geomatica Prime as a pre-requisite.
Technical Specifications Radar Ortho Suite The Radar Ortho Suite includes rigorous and rational function models developed to compensate for distortions and produce orthorectified radar images. Distortions
Defence R&D Canada. Valcartier Research Centre. Presented by Richard Lestage. Photonics Workshop of January 17, 2019 National Research Council, Ottawa
Defence R&D Canada Valcartier Research Centre Presented by Richard Lestage Valcartier Research Centre Photonics Workshop of January 17, 2019 National Research Council, Ottawa DRDC History 1945 (CARDE)
Model-Based Design for Sensor Systems
2009 The MathWorks, Inc. Model-Based Design for Sensor Systems Stephanie Kwan Applications Engineer Agenda Sensor Systems Overview System Level Design Challenges Components of Sensor Systems Sensor Characterization
Change Detection using SAR Data
White Paper Change Detection using SAR Data John Wessels: Senior Scientist PCI Geomatics Change Detection using SAR Data The ability to identify and measure significant changes in target scattering and/or
All rights reserved. ENVI, IDL and Jagwire are trademarks of Exelis, Inc. All other marks are the property of their respective owners.
SAR Analysis Made Easy with SARscape 5.1 All rights reserved. ENVI, IDL and Jagwire are trademarks of Exelis, Inc. All other marks are the property of their respective owners. 2014, Exelis Visual Information
CSA Report on Earth Observation
CSA Report on Earth Observation Dr. Satish K. Srivastava WGCV Chair & CSA Member of WGCV Canadian Space Agency Presented at College Park, MD, USA Sep 30 th to Oct 2 nd, 2014 RADARSAT-2 Spacecraft Health
SARscape for ENVI. A Complete SAR Analysis Solution
SARscape for ENVI A Complete SAR Analysis Solution IDL and ENVI A Foundation for SARscape IDL The Data Analysis & Visualization Platform Data Access: IDL supports virtually every data format, type and
Sentinel-1 Data Border Noise Removal and Seamless Synthetic Aperture Radar Mosaic Generation
Proceedings Sentinel-1 Data Border Noise Removal and Seamless Synthetic Aperture Radar Mosaic Generation Yi Luo * and Dean Flett Canadian Ice Service, Environment and Climate Change Canada, Ottawa, ON
THE modern airborne surveillance and reconnaissance
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2011, VOL. 57, NO. 1, PP. 37 42 Manuscript received January 19, 2011; revised February 2011. DOI: 10.2478/v10177-011-0005-z Radar and Optical Images
Integration of Traditional and Non- Traditional Remote Sensing for Bridge Condition Assessment
Integration of Traditional and Non- Traditional Remote Sensing for Bridge Condition Assessment Tess Ahlborn, Ph.D., P.E., FPCI Devin Harris, Ph.D., Colin Brooks and Larry Sutter, Ph.D. Michigan Technological
TerraSAR-X Applications Guide
TerraSAR-X Applications Guide Extract: Change Detection and Monitoring: Geospatial / Image Intelligence April 2015 Airbus Defence and Space Geo-Intelligence Programme Line Change Detection and Monitoring:
Co-ReSyF RA lecture: Vessel detection and oil spill detection
This project has received funding from the European Union s Horizon 2020 Research and Innovation Programme under grant agreement no 687289 Co-ReSyF RA lecture: Vessel detection and oil spill detection
Playa del Rey, California InSAR Ground Deformation Monitoring Interim Report H
Playa del Rey, California InSAR Ground Deformation Monitoring Interim Report H Ref.: RV-14524 Doc.: CM-168-01 January 31, 2013 SUBMITTED TO: Southern California Gas Company 555 W. Fifth Street (Mail Location
International Telecommunication Union
International Telecommunication Union i ITU Advanced Spectrum Management System The ITU Telecommunication Development Bureau (ITU-BDT) has made available a computer program to assist the Administrations
EE 529 Remote Sensing Techniques. Introduction
EE 529 Remote Sensing Techniques Introduction Course Contents Radar Imaging Sensors Imaging Sensors Imaging Algorithms Imaging Algorithms Course Contents (Cont( Cont d) Simulated Raw Data y r Processing
ArcGIS Online Content
Esri International User Conference San Diego, California Technical Workshops July 25, 2012 ArcGIS Online Content Deane Kensok Sarah Osborne Today s Agenda Overview Esri Content Portfolio - What s Available,
Towards Sentinel-1 Soil Moisture Data Services: The Approach taken by the Earth Observation Data Centre for Water Resources Monitoring
Towards Sentinel-1 Soil Moisture Data Services: The Approach taken by the Earth Observation Data Centre for Water Resources Monitoring Wolfgang Wagner wolfgang.wagner@geo.tuwien.ac.at Department of Geodesy
Use of Synthetic Aperture Radar images for Crisis Response and Management
2012 IEEE Global Humanitarian Technology Conference Use of Synthetic Aperture Radar images for Crisis Response and Management Gerardo Di Martino, Antonio Iodice, Daniele Riccio, Giuseppe Ruello Department
Automated Damage Analysis from Overhead Imagery
Automated Damage Analysis from Overhead Imagery EVAN JONES ANDRE COLEMAN SHARI MATZNER Pacific Northwest National Laboratory 1 PNNL FY2015 at a Glance $955 million in R&D expenditures 4,400 scientists,
Canadian Space Agency program update
Canadian Space Agency program update Briefing to the meeting of the Expert Team on Satellite Systems (ET-SAT-11) Geneva, 4 April 2017 Guennadi Kroupnik Canadian Space Agency RADARSAT-2: CURRENT OPERATIONAL
SAR IMAGE ANALYSIS FOR MICROWAVE C-BAND FINE QUAD POLARISED RADARSAT-2 USING DECOMPOSITION AND SPECKLE FILTER TECHNIQUE
SAR IMAGE ANALYSIS FOR MICROWAVE C-BAND FINE QUAD POLARISED RADARSAT-2 USING DECOMPOSITION AND SPECKLE FILTER TECHNIQUE ABSTRACT Mudassar Shaikh Department of Electronics Science, New Arts, Commerce &
Review. Guoqing Sun Department of Geography, University of Maryland ABrief
Review Guoqing Sun Department of Geography, University of Maryland gsun@glue.umd.edu ABrief Introduction Scattering Mechanisms and Radar Image Characteristics Data Availability Example of Applications
Deformation Monitoring with Terrestrial SAR Interferometry
Lisbon, 12 October 2009 Deformation Monitoring with Terrestrial SAR Interferometry Michele Crosetto Institute of Geomatics Castelldefels (Barcelona) michele.crosetto@ideg.es 1 Content Introduction: Satellite-based
Cristina M. Surdu 1, Claude R. Duguay 2 and Diego Fernández Prieto 1
Cristina M. Surdu 1, Claude R. Duguay 2 and Diego Fernández Prieto 1 1 European Space Agency, ESRIN, Italy 2 University of Waterloo, Ontario, Canada Objectives To document and analyze the response of High
Managing Imagery and Raster Data. Peter Becker
Managing Imagery and Raster Data Peter Becker ArcGIS is a Comprehensive Imagery Platform Empowering you to make informed decisions System of Engagement System of Insight Extract Information from Imagery
Graham Stickler Esri Ocean GIS Forum, Redlands, CA, 5-7 November 2013
Graham Stickler Esri Ocean GIS Forum, Redlands, CA, 5-7 November 2013 Imagine.. A world with no horizons Coastal Coverage Space View Satellite Constellation 6 satellite polar orbiting + 1 equatorial constellation
Synthetic 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
AGRICULTURE LAND USE MAPPING USING MULTI-SENSOR AND MULTI- TEMPORAL EARTH OBSERVATION DATA INTRODUCTION
AGRICULTURE LAND USE MAPPING USING MULTI-SENSOR AND MULTI- TEMPORAL EARTH OBSERVATION DATA Jiali Shang Catherine Champagne Heather McNairn Agriculture and Agri-Food Canada 960 Carling Avenue, Ottawa, ON,
RADARSAT-2 Image Quality and Calibration Update
RADARSAT-2 Image Quality and Calibration Update by Dan Williams, Yiman Wang, Marielle Chabot, Pierre Le Dantec, Ron Caves, Yan Wu, Kenny James, Alan Thompson, Cathy Vigneron www.mdacorporation.com Image
Remote Sensing Analysis Framework for Maritime Surveillance Application
Remote Sensing Analysis Framework for Maritime Surveillance Application Olaf Frauenberger, Egbert Schwarz, Sergey Voinov Maritime Security Lab Neustrelitz (DFD) Maritime Big Data Workshop, 9-11 May, La
Lab 7 Julia Janicki. Introduction and methods
Lab 7 Julia Janicki Introduction and methods The purpose of the lab is to map flood extent after a flooding event that occurred in Houston, Texas. Two Sentinel-1 images with C-band wavelength were used
KONGSBERG SATELLITE SERVICES 2017 Line Steinbakk, Director Programs. Himmel og hav - Ålesund 3. Oktober 2017
KONGSBERG SATELLITE SERVICES 2017 Line Steinbakk, Director Programs Himmel og hav - Ålesund 3. Oktober 2017 KSAT HQ IN TROMSØ 69N Established in 1967 Kongsberg Satellite Services since 2002 World leading
Introduction to Radar
National Aeronautics and Space Administration ARSET Applied Remote Sensing Training http://arset.gsfc.nasa.gov @NASAARSET Introduction to Radar Jul. 16, 2016 www.nasa.gov Objective The objective of this
The EDA SUM Project. Surveillance in an Urban environment using Mobile sensors. 2012, September 13 th - FMV SENSORS SYMPOSIUM 2012
Surveillance in an Urban environment using Mobile sensors 2012, September 13 th - FMV SENSORS SYMPOSIUM 2012 TABLE OF CONTENTS European Defence Agency Supported Project 1. SUM Project Description. 2. Subsystems
Fusion of Heterogeneous Multisensor Data
Fusion of Heterogeneous Multisensor Data Karsten Schulz, Antje Thiele, Ulrich Thoennessen and Erich Cadario Research Institute for Optronics and Pattern Recognition Gutleuthausstrasse 1 D 76275 Ettlingen
Synthetic Aperture Radar. Hugh Griffiths THALES/Royal Academy of Engineering Chair of RF Sensors University College London
Synthetic Aperture Radar Hugh Griffiths THALES/Royal Academy of Engineering Chair of RF Sensors University College London CEOI Training Workshop Designing and Delivering and Instrument Concept 15 March
ARCGIS DESKTOP DEMO (GEOCODING, SERVICE AREAS, TABULAR & SPATIAL JOINS)
ARCGIS DESKTOP DEMO (GEOCODING, SERVICE AREAS, TABULAR & SPATIAL JOINS) Indiana State GIS Day Conference: September 22, 2015 ASHLEY SUITER GIS Data Analyst Epidemiology Resource Center Indiana State Department
DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA
DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA Costas ARMENAKIS Centre for Topographic Information - Geomatics Canada 615 Booth Str., Ottawa,
The Convair 580 SAR Facility Recent Activities and Future Opportunities
The Convair 580 SAR Facility Recent Activities and Future Opportunities Dr. Carl E. Brown Emergencies Science and Technology Section Environment Canada Ottawa, Ontario ESTS Airborne Remote Sensing DC-3,
Enhanced Noise Removal Technique Based on Window Size for SAR Data
Volume 114 No. 7 2017, 227-235 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Enhanced Noise Removal Technique Based on Window Size for SAR Data
Report on CEOS WGCV SAR Subgroup Activities
Report on CEOS WGCV SAR Subgroup Activities CEOS WGCV 37 th Plenary ESRIN, Frascati/Italy February 17-20, 2014 M. Zink Chair CEOS WGCV SAR Subgroup German Aerospace Center (DLR) manfred.zink@dlr.de http://sarcv.ceos.org
Detection 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
ArcGIS Pro: What s New in Analysis
Federal GIS Conference February 9 10, 2015 Washington, DC ArcGIS Pro: What s New in Analysis James Sullivan What is analysis? Analysis transforms raw data into information or knowledge. Spatial analysis
GEORGIA WETLANDS TOOL
GEORGIA WETLANDS TOOL TONY GIARRUSSO ASSOCIATE DIRECTOR & SENIOR RESEARCH SCIENTIST GEORGIA TECH CENTER FOR GIS OUTLINE Project History Overview of NWI Data 2000 Georgia Basemap Wetlands Toolkit Overview
SBR MTI Impact on Coastal and Border Surveillance
Dr. Rahim Jassemi-Zargani and Mr. Pierre D. Beaulne Defence R&D Canada Ottawa, 3701 Carling Avenue, Ottawa, Ontario, K1A 0Z4 Canada rahim.jassemi@drdc-rddc.gc.ca, pete.beaulne@drdc-rddc.gc.ca ABSTRACT
Remote Sensing in an
Chapter 15: Spatial Enhancement of Landsat Imagery Remote Sensing in an ArcMap Environment Remote Sensing Analysis in an ArcMap Environment Tammy E. Parece Image source: landsat.usgs.gov Tammy Parece James
Synthetic 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
Acknowledgment. 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
A (very) brief introduction to Remote Sensing: From satellites to maps!
Spatial Data Analysis and Modeling for Agricultural Development, with R - Workshop A (very) brief introduction to Remote Sensing: From satellites to maps! Earthlights DMSP 1994-1995 https://wikimedia.org/
Multi Sensor Data Fusion
Multi Sensor Data Fusion for improved maritime traffic monitoring in the Canadian Arctic Giulia Battistello*, Martin Ulmke*, Javier Gonzalez*, Camilla Mohrdieck** (*) Fraunhofer FKIE Sensor Data and Information
Superior Radar Imagery, Target Detection and Tracking SIGMA S6 RADAR PROCESSOR
Superior Radar Imagery, Target Detection and Tracking SIGMA S6 S TA N D A R D F E AT U R E S SIGMA S6 Airport Surface Movement Radar Conventional Radar Image of Sigma S6 Ice Navigator Image of Radar Inputs
SAR Imaging from Partial-Aperture Data with Frequency-Band Omissions
SAR Imaging from Partial-Aperture Data with Frequency-Band Omissions Müjdat Çetin a and Randolph L. Moses b a Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, 77
Introduction to Imaging Radar INF-GEO 4310
Introduction to Imaging Radar INF-GEO 4310 22.9.2011 Literature Contact: yoann.paichard@ffi.no Suggested readings: Fundamentals of Radar Signal Processing, M.A. Richards, McGraw-Hill, 2005 High Resolution
Radar Imaging of Concealed Targets
Radar Imaging of Concealed Targets Vidya H A Department of Computer Science and Engineering, Visveswaraiah Technological University Assistant Professor, Channabasaveshwara Institute of Technology, Gubbi,
*For International Stewardship of the Maritime Environment and its Resources. Photo
*For International Stewardship of the Maritime Environment and its Resources *For Maritime Safety *For Security Photo # Providing Environmental Monitoring* # Increasing Security* # Enabling Safety Efforts*
School of Rural and Surveying Engineering National Technical University of Athens
Laboratory of Photogrammetry National Technical University of Athens Combined use of spaceborne optical and SAR data Incompatible data sources or a useful procedure? Charalabos Ioannidis, Dimitra Vassilaki
Introduction to image processing for remote sensing: Practical examples
Università degli studi di Roma Tor Vergata Corso di Telerilevamento e Diagnostica Elettromagnetica Anno accademico 2010/2011 Introduction to image processing for remote sensing: Practical examples Dr.
Active and Passive Microwave Remote Sensing
Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.
Satellite data for Maritime Operations. Andreas Hay Kaljord Project Manager Energy, Environment & Security
Satellite data for Maritime Operations Andreas Hay Kaljord Project Manager Energy, Environment & Security Kongsberg Satellite Services (KSAT) World leading provider within our business area Supports 85
GEO 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
Sentinel-1 Overview. Dr. Andrea Minchella
Dr. Andrea Minchella 21-22/01/2016 ESA SNAP-Sentinel-1 Training Course Satellite Applications Catapult - Electron Building, Harwell, Oxfordshire Contents Sentinel-1 Mission Sentinel-1 SAR Modes Sentinel-1
Synthetic Aperture Radar Interferometry (InSAR) Technique (Lecture I- Tuesday 11 May 2010)
Synthetic Aperture Radar Interferometry () Technique (Lecture I- Tuesday 11 May 2010) ISNET/CRTEAN Training Course on Synthetic Aperture Radar (SAR) Imagery: Processing, Interpretation and Applications
Space Based Vessel Detection - Combining Earth Observation and AIS for Maritime surveillance TEXAS V and C-Σ III
Space Based Vessel Detection - Combining Earth Observation and AIS for Maritime surveillance TEXAS V and C-Σ III Tony Bauna Director, Product and Service Development, Kongsberg Satellite Services, Tromsø,
Chapter 1 Overview of imaging GIS
Chapter 1 Overview of imaging GIS Imaging GIS, a term used in the medical imaging community (Wang 2012), is adopted here to describe a geographic information system (GIS) that displays, enhances, and facilitates
Workshop on Network Planning for English speaking African Countries
Welcome! Workshop on Network Planning for English speaking African Countries (ITU COE, Nairobi, Kenya, 7-11 October 2002) 1 Welcome! Session 5.6 Supporting Network Planning Tools I by Roland Götz 2 Dipl.-Ing.
Digital Processing Of Synthetic Aperture Radar Data Read & Download (pdf Kindle) Remote Sensing Digital Image...
Digital Processing Of Synthetic Aperture Radar Data Algorithms And Implementation With Cdrom Artech digital Processing Of Synthetic Aperture Radar Data Algorithms And Implementation With Cdrom Artech We
Esri and Autodesk What s Next?
AN ESRI VISION PAPER JANUARY 2018 Esri and Autodesk What s Next? Copyright 2018 Esri All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive
COSMO-skymed, TerraSAR-X, and RADARSAT-2 geolocation accuracy after compensation for earth-system effects
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 9 CH-857 Zurich www.zora.uzh.ch Year: COSMO-skymed, TerraSAR-X, and RADARSAT- geolocation accuracy after compensation
Compression Method for High Dynamic Range Intensity to Improve SAR Image Visibility
Compression Method for High Dynamic Range Intensity to Improve SAR Image Visibility Satoshi Hisanaga, Koji Wakimoto and Koji Okamura Abstract It is possible to interpret the shape of buildings based on
Amherst, MA I This document has been appmoved. idistribution is unlimited.
AD-A273 568 USE OF MICROWAVE POLARIMETRY TO ENHANCE SAR IMAGES OF THE OCEAN SURFACE r T IC (Y. -i ECTE DEC091993" T Dr. Robert E. McIntosh omnet: R.MCINTOSH Department of Electrical and Computer Engineering
Active and passive radio frequency imaging using a swarm of SUAS
Active and passive radio frequency imaging using a swarm of SUAS 7 th - 8 th June 2016 NATO SET 222 Dr Claire Stevenson Dstl cmstevenson@dstl.gov.uk 1 Contents 1.Motivation 2.Radio Frequency Imaging 3.Bistatic
High-performance computing for soil moisture estimation
High-performance computing for soil moisture estimation S. Elefante 1, W. Wagner 1, C. Briese 2, S. Cao 1, V. Naeimi 1 1 Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna,
Digitization of Trail Network Using Remotely-Sensed Data in the CFB Suffield National Wildlife Area
Digitization of Trail Network Using Remotely-Sensed Data in the CFB Suffield National Wildlife Area Brent Smith DLE 5-5 and Mike Tulis G3 GIS Technician Department of National Defence 27 March 2007 Introduction
Lesson 3: Working with Landsat Data
Lesson 3: Working with Landsat Data Lesson Description The Landsat Program is the longest-running and most extensive collection of satellite imagery for Earth. These datasets are global in scale, continuously
Analysis and Geoprocessing Sessions and Demo Theater Presentations
Esri User Conference 2018 Analysis and Geoprocessing Sessions and Demo Theater Presentations TUESDAY 7/10 -------------------------------------------------------------------------------------------------------------------------------------------
Time Domain Far Field Antenna Measurements Without Anechoic Chamber
1 Time Domain Far Field Antenna Measurements Without Anechoic Chamber Adjacent Reflecting Objects Transmitting Antenna Antenna Under Test Pulse Generator Head Sampling Unit DC-26GHz Pulse Generator Mainframe
Polaris Sensor Technologies, Inc. Visible - Limited Detection Thermal - No Detection Polarization - Robust Detection etherm - Ultimate Detection
Polaris Sensor Technologies, Inc. DETECTION OF OIL AND DIESEL ON WATER Visible - Limited Detection - No Detection - Robust Detection etherm - Ultimate Detection Pyxis Features: Day or night real-time sensing
Downloaded by on April 16, DOI: /
Polar Epsilon: Joint Space-Based Wide Area Surveillance and Support Project LCdr Robert Quinn Project Director Polar Epsilon Directorate of Space Development Phone: +1(613)945-5212 Quinn.rj2@forces.gc.ca
ArcGIS 9 Using ArcGIS StreetMap
ArcGIS 9 Using ArcGIS StreetMap Copyright 2001 2004 ESRI All Rights Reserved. Printed in the United States of America. The information contained in this document is the exclusive property of ESRI. This
REPORT DEFENCE INNOVATION
DEFENCE INNOVATION REPORT Canada s defence industry pushes the frontiers of applied knowledge, producing the highest quality products and services for Canada s Armed Forces and our allies. We are proud
Retina 400 THE SIMPLE AND FLEXIBLE SOLUTION FOR HIGH DEFINITION RETINAL IMAGERY NON-MYDRIATIC RETINAL CAMERA C/D AUTO 60 H X 45 V LED. 2,2 mm.
Retina 400 THE SIMPLE AND FLEXIBLE SOLUTION FOR HIGH DEFINITION RETINAL IMAGERY Retina 400 NON-MYDRIATIC RETINAL CAMERA 60 H X 45 V 2,2 mm LED C/D AUTO Auto Cup-to-disc 5 MP photo THE SIMPLE AND FLEXIBLE
Comparison of Two Detection Combination Algorithms for Phased Array Radars
Comparison of Two Detection Combination Algorithms for Phased Array Radars Zhen Ding and Peter Moo Wide Area Surveillance Radar Group Radar Sensing and Exploitation Section Defence R&D Canada Ottawa, Canada
Remote sensing image correction
Remote sensing image correction Introductory readings remote sensing http://www.microimages.com/documentation/tutorials/introrse.pdf 1 Preprocessing Digital Image Processing of satellite images can be
KOMPSAT Constellation. November 2012 Satrec Initiative
KOMPSAT Constellation November 2012 Satrec Initiative KOMPSAT Constellation KOMPSAT National program Developed and operated by KARI (Korea Aerospace Research Institute) Dual use : Government & commercial
Active and Passive Microwave Remote Sensing
Active and Passive Microwave Remote Sensing Passive remote sensing system record EMR that was reflected (e.g., blue, green, red, and near IR) or emitted (e.g., thermal IR) from the surface of the Earth.
An 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