Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats

Similar documents
Philpot & Philipson: Remote Sensing Fundamentals Scanners 8.1 W.D. Philpot, Cornell University, Fall 2015

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS

746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

Some Basic Concepts of Remote Sensing. Lecture 2 August 31, 2005

Consumer digital CCD cameras

Remote Sensing Platforms

US Commercial Imaging Satellites

IKONOS High Resolution Multispectral Scanner Sensor Characteristics

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning

Outline. Introduction. Introduction: Film Emulsions. Sensor Systems. Types of Remote Sensing. A/Prof Linlin Ge. Photographic systems (cf(

Remote Sensing Platforms

Introduction to Remote Sensing. Electromagnetic Energy. Data From Wave Phenomena. Electromagnetic Radiation (EMR) Electromagnetic Energy

Aral Sea profile Selection of area 24 February April May 1998

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Camera Case Study: HiSCI à now CaSSIS (Colour and Stereo Surface Imaging System)

On the use of water color missions for lakes in 2021

An Introduction to Remote Sensing & GIS. Introduction

1 W. Philpot, Cornell University The Digital Image

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

Lecture Notes Prepared by Prof. J. Francis Spring Remote Sensing Instruments

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT

Sources of Geographic Information

Spectral Signatures. Vegetation. 40 Soil. Water WAVELENGTH (microns)

Introduction of Satellite Remote Sensing

GEOMETRIC RECTIFICATION OF EUROPEAN HISTORICAL ARCHIVES OF LANDSAT 1-3 MSS IMAGERY

Compact High Resolution Imaging Spectrometer (CHRIS) siraelectro-optics

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

FLIGHT SUMMARY REPORT

Remote Sensing of the Environment An Earth Resource Perspective John R. Jensen Second Edition

Atmospheric interactions; Aerial Photography; Imaging systems; Intro to Spectroscopy Week #3: September 12, 2018

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing

Lecture 2. Electromagnetic radiation principles. Units, image resolutions.

Chapter 3. Data Acquisition Systems. Ayman F. Habib. Remote Sensing

Remote Sensing 1 Principles of visible and radar remote sensing & sensors

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

Introduction to Remote Sensing

CHAPTER 7: Multispectral Remote Sensing

REMOTE SENSING INTERPRETATION

Chapters 1-3. Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation. Chapter 3: Basic optics

Japanese Advanced Meteorological Imager: A Next Generation GEO Imager for MTSAT-1R

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING

Chapter 8. Remote sensing

remote sensing? What are the remote sensing principles behind these Definition

WorldView-2. WorldView-2 Overview

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Hyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances

9/22/08. Satellite Systems. History of satellite communication. Applications. History Basics Localization Handover Routing Systems

Radiometric Use of WorldView-3 Imagery. Technical Note. 1 WorldView-3 Instrument. 1.1 WorldView-3 Relative Radiance Response

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition

A CubeSat-Based Optical Communication Network for Low Earth Orbit

Introduction to Remote Sensing

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

Earth s Gravitational Pull

1. Theory of remote sensing and spectrum

Chapters 1-3. Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation. Chapter 3: Basic optics

Sentinel-2 Products and Algorithms

Detectors that cover a dynamic range of more than 1 million in several dimensions

INF-GEO Introduction to remote sensing. Anne Solberg

Ghazanfar A. Khattak National Centre of Excellence in Geology University of Peshawar

Textbook, Chapter 15 Textbook, Chapter 10 (only 10.6)

ECE 583. Lecture 27 Imaging Visible and Infrared Radiometers. Array Detector Imagers Stereo Cloud Hieght & Winds Application

Blacksburg, VA July 24 th 30 th, 2010 Remote Sensing Page 1. A condensed overview. For our purposes

Tutorial 10 Information extraction from high resolution optical satellite sensors

LECTURE NOTES 2016 CONTENTS. Sensors and Platforms for Acquisition of Aerial and Satellite Image Data

HIGH RESOLUTION IMAGERY FOR MAPPING AND LANDSCAPE MONITORING

INF-GEO Introduction to remote sensing

The New Rig Camera Process in TNTmips Pro 2018

Remote Sensing Exam 2 Study Guide

CALIBRATION OF OPTICAL SATELLITE SENSORS

CubeSat-Scale Hyperspectral Imager for Middle Atmosphere Investigations

Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS

Aerial photography: Principles. Frame capture sensors: Analog film and digital cameras

Japanese Advanced Meteorological Imager

Advanced Optical Satellite (ALOS-3) Overviews

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD

18. Infra-Red Imaging Subsystem (IRIS)

Platforms, Sensors & Data Products

Introduction to Remote Sensing

OPAL Optical Profiling of the Atmospheric Limb

366 Glossary. Popular method for scale drawings in a computer similar to GIS but without the necessity for spatial referencing CEP

Introduction to Satellite Remote Sensing

Update on Landsat Program and Landsat Data Continuity Mission

EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000

Important Missions. weather forecasting and monitoring communication navigation military earth resource observation LANDSAT SEASAT SPOT IRS

FUNDAMENTALS OF DIGITAL IMAGES

Satellite Imagery and Remote Sensing. DeeDee Whitaker SW Guilford High EES & Chemistry

What Makes Push-broom Hyperspectral Imaging Advantageous for Art Applications. Timo Hyvärinen SPECIM, Spectral Imaging Ltd Oulu Finland

Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor

Remote sensing image correction

Dario Cabib, Amir Gil, Moshe Lavi. Edinburgh April 11, 2011

High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony

Remote Sensing and GIS

Geometry of Aerial Photographs

Airborne digital sensors: principles, design and use as exemplified by the LH Systems ADS40

Observational Astronomy

Sensor resolutions from space: the tension between temporal, spectral, spatial and swath. David Bruce UniSA and ISU

Transcription:

CEE 6150: Digital Image Processing 1 Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats

CEE 6150: Digital Image Processing 2

CEE 6150: Digital Image Processing 3

CEE 6150: Digital Image Processing 4 Typical whiskbroom scanner geometry Scanning design to improve dwell time: whiskbroom scanners Banding from Whiskbroom Scanner Differences in calibration of individual detectors Differences in calibration associated with scan direction

CEE 6150: Digital Image Processing 5 http://www.asprs.org/a/publications/proceedings/pecora16/storey_j.pdf Spectral Band Selection: Landsat 5 (TM) and Landsat 7 (ETM+) TM Focal Plane Array http://ltpwww.gsfc.nasa.gov/ias/handbook/handbook_htmls/chapter3/chapter3.html

CEE 6150: Digital Image Processing 6 PUSHBROOM SCANNERS: Scanner geometry: SPOT Spatial Resolution (SPOT) (Since 1986) Mode Spectral Band Res. Multispectral (XS) SPOT 1,2,3,4,5 1 (Green) 0.50-0.59 µm 20 m 2 (Red) 0.61-0.68 µm 20 m 3 (Near IR) 0.79-0.89 µm 20 m SPOT 4,5 4 (Mid IR) 1.57-1.71 µm 20 m Panchromatic (P) SPOT 1,2,3 0.51-0.73 µm 10 m SPOT 4 0.61-0.68 µm 10 m SPOT 5 0.48-0.68 µm 2.5 m* Swath width @ nadir: 60 km * The panchromatic band uses two 5 m sample arrays offset by 2.5 m in both the cross-track and along-track directions. This results in a quasi-2.5 m sample spacing, but with a resolution cell size of 5 m.

CEE 6150: Digital Image Processing 7 IKONOS (Space Imaging) Multispectral spatial dynamic Band Spectral Range (FWHM) Res. range 1 445 516 nm (Blue) 4 m 11 bits 2 506 595 nm (Green) 4 m 3 632 698 nm (Red) 4 m 4 757 853 nm (NIR) 4 m Panchromatic spatial dynamic Spectral Range (FWHM) Res. range 445 900 nm (Blue) 1 m 11 bits swath width @ nadir: 10 km Spectral Band Selection: QuickBird Multispectral spatial dynamic Band Spectral Range (FWHM) Res. range 1 450 520 nm (Blue) 2.44 m 11 bits 2 520 600 nm (Green) 2.44 m 11 bits 3 630 690 nm (Red) 2.44 m 11 bits 4 760 900 nm (NIR) 2.44 m 11 bits Panchromatic spatial dynamic Spectral Range (FWHM) Res. range 445 900 nm (Blue) 0.61 m 11 bits swath width @ nadir: 16.5 km Spectral Band Selection: WorldView-2 Multispectral nadir dynamic Band Spectral Range (FWHM) Res. range 1 400 450 nm (Coastal) 1.84 m 11 bits 2 450 510 nm (Blue) 1.84 m 11 bits 3 510 580 nm (Green) 1.84 m 11 bits 4 585 625 nm (Yellow) 1.84 m 11 bits 5 630 690 nm (Red) 1.84 m 11 bits 6 705 745 nm (Red Edge) 1.84 m 11 bits 7 770 895 nm (NIR 1) 1.84 m 11 bits 8 860 1040 nm (NIR 2) 1.84 m 11 bits 2.08 m @ 20 off-nadir Panchromatic445 900 nm (Panchromatic) 0.46 m 11 bits swath width @ nadir: 16.4 km 0.52 m @ 20 off-nadir Operational Land Imager (OLI; Landsat 8) Spectral bands: http://landsat.gsfc.nasa.gov/?p=5771 Focal plane array: balticbloom_oli_2015223_lrg.jpg Web Resources Satellite Imaging Corporation: High resolution commercial systems; system descriptions and access to imagery (for purchase). http://www.satimagingcorp.com/satellite-sensors/geoeye-1.html U.S. Government image data: Access to imagery (free, mostly); includes data descriptions http://earthexplorer.usgs.gov/ http://glovis.usgs.gov/

CEE 6150: Digital Image Processing 8 System Specs: AVIRIS (Visible-IR Imaging Spectrometer (AVIRIS) Data Rate: 17 Mbps through 1994, 20.4 Mbps from 1995. Bit depth: 10 bit through 1994, 12 bit from 1995. Detectors: Silicon (Si) for the visible range, indium-antimonide (InSb) for the NIR Scanning: "Whisk broom", 12 Hz scanning rate Spectral: 10 nm bandwidth, 0.38-2.5 µm (224 bands) Spatial: @ 20 km: 30 m GIFOV Color Pixel misregistration (design dependent) Color pixels along the edge of the road are due to nearestneighbor resampling of different spectral bands when the color registration is imperfect. 2-D CCD arrays folding mirror (static) diffraction grating 2-D array Scanner geometry: Hyperspectral flight path IFOV θ H H sec θ ω

CEE 6150: Digital Image Processing 9 Color Representation in Digital Cameras Bayer Pattern Digital Cameras have only one 2-D array A color filter array (CFA) is placed between the lens and the sensors. A CFA typically has one color filter element for each sensor. The Bayer pattern uses the three additive primary colors, red, green and blue (RGB), for the filter elements arranged in a 2x2 pattern.. Fuji X-trans color array (new) http://www.fujifilmusa.com/products/digital_cameras/x/fujifilm_x_pro1/features/ 1) lens, 2) low pass filters, 3) array Higher degree of randomness with an array of 6 x 6 pixel units. Without using an optical low-pass filter, moire and false colors are minimized while retaining high resolution. Inspired by the natural random arrangement of the fine grains of silver halide in film. Fovean camerathe layers of silicon take advantage of the fact that silicon absorbs different colors of light at different depths, so one layer records red, another layer records green and the other layer records blue.

CEE 6150: Digital Image Processing 10

CEE 6150: Digital Image Processing 11 Orbital Mechanics The orbital speed of a body, in our case, a satellite, is the speed at which it orbits around the earth. Here, for simplicity, we consider only circular orbits and Newton's laws (nothing about energy or momentum). We further assume that only two objects (the earth and the satellite) need to be considered and that the mass of the satellite is negligible relative to the mass of the earth. In this case, the centripetal force, Fc, acting to drive the satellite away from the earth, and the gravitational force, Fg, attracting the satellite toward the earth, must balance exactly. Thus, if ms is the mass of the satellite, me, is the mass of the earth, G is the universal gravitational constant, and r is the distance from the center of the earth to the satellite, then: F c 2 s Gmsme ; Fg 2 = m v r = Gm v = e r r where r = re + h (the radius of the earth + the altitude of the satellite). An object moving faster than circular velocity will enter an elliptical orbit with a velocity at any point determined by Kepler's laws of planetary motion. If the object moves faster still, it will travel at escape velocity along a parabolic orbit or beyond escape velocity in a hyperbolic orbit. Orbital Period The orbital period T = 2π 3 r Gm e of a small body orbiting a central body in a circular or elliptical orbit is: The radium of the earth, re=6.378x10 6 m The standard gravitational parameter, μ = Gme=3.986x10 14 m 3 s -2 Orbital families LEO: low earth orbit, typical altitude < 2000 km o space shuttle o space station o Hubble Space Telescope o iridium o remote sensing: EROS, Landsat o communications: email, text messaging, paging MEO: medium earth orbit, typical altitude 10,000 to 20,000 km o GPS: Global Positioning System GEO: geosynchronous earth orbit, seven earth radii, one-ninth of the distance to the moon, altitude = 36,000 km o GOES - Geosynchronous (Geostationary) Operational Environmental Satellites o communication: signal relays for terrestrial broadcast and cable systems direct broadcast satellite TV and radio o TDRS: Tracking and Data Relay Satellite