Azimuthal SAR Interferogram (azisar) Sylvain Barbot, Institute of Geophysics and Planetary Sciences, Scripps Institution of Oceanography, University of.

Slides:



Advertisements
Similar presentations
Remote Sensing andGIS.
Advertisements

IGARSS 2011, July , Vancouver, Canada Demonstration of Target Vibration Estimation in Synthetic Aperture Radar Imagery Qi Wang 1,2, Matthew Pepin.
Oil spill off NW coast of Spain IKONOS image Oil reaching shore.
Active Remote Sensing Systems March 2, 2005 Radar Nomenclature Radar Logic Synthetic Aperture Radar Radar Relief Displacement Return Exams Next Class:
M. Younis Design Optimization Aspects for Reflector Base Synthetic Aperture Radar Marwan Younis, Anton Patyuchenko, Sigurd Huber, and Gerhard Krieger,
Folie 1 Ambiguity Suppression by Azimuth Phase Coding in Multichannel SAR Systems DLR - Institut für Hochfrequenztechnik und Radarsysteme F. Bordoni, M.
Folie 1 Performance Investigation on the High-Resolution Wide-Swath SAR System Operating in Stripmap Quad-Pol and Ultra-Wide ScanSAR Mode DLR - Institut.
Properties of the MIMO Radar Ambiguity Function
23057page 1 Physics of SAR Summer page 2 Synthetic-Aperture Radar SAR Radar - Transmits its own illumination a "Microwave flashlight" RAdio.
Remote Sensing Technology Institute Extraction of the surface velocity of rivers with SAR- ATI H. Runge 1, S. Suchandt 1, R. Horn 2, T. Eiglsperger 3 German.
Synthetic Aperture Radar Views of the California Current David Johnson Committee: Pierre Flament (chairman) Mark Merrifield Eric Firing.
T H E U N I V E R S I T Y O F B R I T I S H C O L U M B I A 20 Dec 2005Bistatic SAR Imaging using Non-Linear Chirp Scaling 1 Bistatic SAR imaging using.
Topic 4 Radar Fundamentals Enabling Objectives 4.1 DISCUSS the classifications of radars and specific radar systems employed by military and civilian users.
A Design Method for MIMO Radar Frequency Hopping Codes Chun-Yang Chen and P. P. Vaidyanathan California Institute of Technology Electrical Engineering/DSP.
Radar Principles and Systems Part I
Radar: Acronym for Radio Detection and Ranging
Radar Principles and Systems Part I
Synthetic-Aperture Radar (SAR) Basics
Synthetic-Aperture Radar (SAR) Image Formation Processing
Interferometric Sounder Concept for Ice Sheet Mapping Review, Simulations, Spaceborne System, Future E. Rodriguez Jet Propulsion Laboratory California.
Tutorial I: Radar Introduction and basic concepts
Development of Focusing Algorithms for Arc-scanning Ground-Based Synthetic Aperture Radar Hoonyol Lee Dept. of Geophysics, Kangwon National University.
Remote Sensing and Active Tectonics Barry Parsons and Richard Walker Michaelmas Term 2011 Lecture 4.
INTERFEROMETRIC ERROR SOURCES
Dr A VENGADARAJAN, Sc ‘F’, LRDE
Junjie Wu, Jianyu Yang, et.al. Univ. of Electro. Sci. & Tech. of China
GISMO Simulation Study Objective Key instrument and geometry parameters Surface and base DEMs Ice mass reflection and refraction modeling Algorithms used.
Radar Signals Tutorial II: The Ambiguity Function
Doppler Radar Basic Principles.
B. Gentry/GSFCGTWS 2/26/01 Doppler Wind Lidar Measurement Principles Bruce Gentry NASA / Goddard Space Flight Center based on a presentation made to the.
KIGAMKIGAM 지반변형 모니터링을 위한 GROUND-BASED SAR 개발 지반변형 모니터링을 위한 GROUND-BASED SAR 개발 한국지구시스템공학회 조성준 (1), 이훈열 (2), 성낙훈 (1), 김정호 (1) (1)한국지질자원연구원.
1 Abstract - KNU and KIGAM are developing a ground-based Arc-scanning SAR system (ArcSAR) mounted on a truck. The system achieves a coherent integration.
1 Nonlinear Range Cell Migration (RCM) Compensation Method for Spaceborne/Airborne Forward-Looking Bistatic SAR Nonlinear Range Cell Migration (RCM) Compensation.
Synthetic Aperture Radar Specular or Bragg Scatter? OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001.
Range-wavenumber representation of SAR Signal
MITSUBISHI ELECTRIC RESEARCH LABORATORIES Cambridge, Massachusetts High resolution SAR imaging using random pulse timing Dehong Liu IGARSS’ 2011 Vancouver,
University of Electronic Science and Technology of China
GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling.
How does InSAR work? Gareth Funning University of California, Riverside.
InSAR Application for mapping Ice Sheets Akhilesh Mishra Dec 04, 2015.
Frequency-Wavenumber Domain EECS 800 – Patrick McCormick.
Forming InSAR products from RADARSAT-2 data -santhosh.
Active Remote Sensing for Elevation Mapping
RADAR.  Go through intro part of LeToan.pdfhttp://earth.esa.int/landtraining07/D1LA1- LeToan.pdf.
Fault Plane Solution Focal Mechanism.
A Concept for Spaceborne Imaging of the Base of Terrestrial Ice Sheets and Icy Bodies in the Solar System Ken Jezek, Byrd Polar Research Center E. Rodriguez,
EEE381B Pulsed radar A pulsed radar is characterized by a high power transmitter that generates an endless sequence of pulses. The rate at which the pulses.
DISPLACED PHASE CENTER ANTENNA SAR IMAGING BASED ON COMPRESSED SENSING Yueguan Lin 1,2,3, Bingchen Zhang 1,2, Wen Hong 1,2 and Yirong Wu 1,2 1 National.
Correlating Synthetic Aperture Radar (CoSAR) DIVYA CHALLA.
Class tutorial Measuring Earthquake and volcano activity from space Shimon Wdowinski University of Miami.
presented by: Reham Mahmoud AbD El-fattah ali
Active Microwave Remote Sensing
Monitoraggio Geodetico e Telerilevamento 5.2 Radar Imaging part 2
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
Microwave Motion Sensor Module
Active Remote Sensing for Elevation Mapping
Sea ice remote sensing from space

GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
Efficient Estimation of Residual Trajectory Deviations from SAR data
Light 24 GHz Multi-Channel RADAR System Aiding Unmanned Aerial Vehicle Navigation Soumyaroop Nandi.
Final exam information
Open book, open notes, bring a calculator
For the next 4 problems, consider the following:
Examples of spectral fields
Interferogram Filtering vs Interferogram Subtraction
Feed & Front End PDR—Sys. Reqts
이훈열, 조성준, 성낙훈 강원대학교 지구물리학과 한국지질자원연구원 지반안전연구부
Open book, open notes, bring a calculator
Introduction to SAR Imaging
Presentation transcript:

Azimuthal SAR Interferogram (azisar) Sylvain Barbot, Institute of Geophysics and Planetary Sciences, Scripps Institution of Oceanography, University of California at San Diego

forward look interferogram backward look interferogram range direction double difference interferogram double difference suppresses topography and most of troposphere delays. measurement is still ambiguous, but no more relative (  0  ||  r||.cos  = 0) Geometry

efficient look direction antenna width wavelength first fringe  occurs for ||   r||  = 3L/8=3.75m (no wavelength dependence)  is the efficient look angle angular energy distribution angle first moment from energy distribution Real Aperture Radar

insardbldiff still not measured plane of sight azimuth (satellite track)incidence quake slip Azimuth View Angle

azimuth emitted pulse h=800 km S=5 km L=10 m fo=5.3 GHz range Synthetic Aperture Radar

Doppler frequency Instantaneous phase Total Doppler bandwidth nearest range Illumination duration T int Azimuth Compression

sensor target How to filter for look directions ? Range and look direction variation with time Look Direction

Doppler analysis

lines of equi-Doppler lines of equidistance flight line illuminated area Range/Doppler reference system How to filter for look direction ? Local ground incidence angle Doppler analysis

case of a zero Doppler centroid Doppler frequency varies linearly with time Doppler analysis Doppler frequency variation with time/space

Frequency spectrum in azimuth (antenna pattern modulation) Doppler centroid Doppler analysis Image spectrum=Doppler frequency *antenna spectrum * scene impulse response

zero Doppler centroid Doppler analysis Non-zero Doppler centroid case non-zero Doppler centroid forward look backward look

Doppler Power Spectrum Doppler frequency / PRF Aliasing Limit (DFT) Doppler centroid ~ 0.75 Doppler analysis backward look forward look backward look

Doppler analysis Doppler shift (freq. domain) = azimuth modulation (time domain) Doppler with range f d (r)/f 0 =a 2 r 2 +a 1 r+a 0 Doppler at acquisition Doppler centroid modulation Now easy to take backward and forward look shifted to center DFT backward forward

no need for Doppler compensation Hector Mine azimuth interferogram