Alternating Polarization ´Single´ Look Complex Product Status

Slides:



Advertisements
Similar presentations
Page 1ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 ASAR Processing Facility Status  Processor releases  Internal calibration updates  Processing.
Advertisements

On Estimation of Soil Moisture & Snow Properties with SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa.
Space experiment on the International Space Station with P-band SAR Space experiment on the International Space Station with P-band SAR B.Kutuza, A.Kalinkevitch,
New modules of the software package “PHOTOMOD Radar” September 2010, Gaeta, Italy X th International Scientific and Technical Conference From Imagery to.
Filtering Filtering is one of the most widely used complex signal processing operations The system implementing this operation is called a filter A filter.
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.
Spaceborne Weather Radar
Synthetic-Aperture Radar (SAR) Image Formation Processing
THALES RESEARCH & TECHNOLOGY FRANCE This document and any data included are the property of THALES. They cannot be reproduced, disclosed or used without.
Page 1ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 ASAR On-board Instrument  Instrument Stability and Status  Instrument Adjustments  Tracking.
Tutorial I: Radar Introduction and basic concepts
Marsis Ground Processing Overview and Data Analysis Approach M. Cartacci, A. Cicchetti, R. Noschese, S. Giuppi Madrid
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Initial Results on the Cross- Calibration of QuikSCAT and Oceansat-2 Scatterometers David G. Long Department of Electrical and Computer Engineering Brigham.
Spaceborne Radar for Snowfall Measurements
ACCURATE OPTIMAL DOPPLER CENTROID ESTIMATION FOR SAR DATA IGARSS 2011 Vancouver, Canada July 27 th, 2011 Pietro Guccione Politecnico di Bari Andrea Monti.
INTERFEROMETRIC ERROR SOURCES
Synthetic Aperture Radar
Dr A VENGADARAJAN, Sc ‘F’, LRDE
Page 1 ASAR Validation Review - ESRIN – December 2002 ASAR Validation Review Introduction B. Rosich ESA-ESRIN ASAR C.P. Objectives Challenges in.
Ping Zhang, Zhen Li,Jianmin Zhou, Quan Chen, Bangsen Tian
10. Satellite Communication & Radar Sensors
Radar Project Pulse Compression Radar
Review of Ultrasonic Imaging
Synthetic Aperture Radar Specular or Bragg Scatter? OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001.
Adaphed from Rappaport’s Chapter 5
PARALLEL FREQUENCY RADAR VIA COMPRESSIVE SENSING
WEATHER SIGNALS Chapter 4 (Focus is on weather signals or echoes from radar resolution volumes filled with countless discrete scatterers---rain, insects,
INSTRUMENT STATUS AND PERFORMANCE Guido Levrini. Page 2 ENVISAT Validation Workshop - ESRIN - 9–13 December 2002 ASAR F Instrument operability issues.
Co-Registration of SAR Image Pairs for Interferometry
KNMI 35 GHz Cloud Radar & Cloud Classification* Henk Klein Baltink * Robin Hogan (Univ. of Reading, UK)
Statistical Description of Multipath Fading
Constellation of Airbus SAR satellites and PHOTOMOD Radar software: quality assessment of geometric and radiometric parameters of TerraSAR-X imagery Matthieu.
Page 1 ASAR Validation Review - ESRIN – December 2002 IM and WS Mode Level 1 Product quality update F Introduction F IM Mode Optimisation F Updated.
Page 1 ENVISAT Validation Workshop - ESRIN – 9-13 December 2002 ASAR Validation Review AP and GM Level 0 Product Quality Birgit Schättler Remote Sensing.
Centre Spatial de Liège Institut Montefiore
Estimation of wave spectra with SWIM on CFOSAT – illustration on a real case C. Tison (1), C. Manent (2), T. Amiot (1), V. Enjolras (3), D. Hauser (2),
InSAR Application for mapping Ice Sheets Akhilesh Mishra Dec 04, 2015.
Page 1ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Antenna Elevation Pattern Estimation from Rain Forest Data M. Zink ENVISAT Programme ESA-ESTEC.
IGARSS-2011-Vancouver Temporal decorrelation analysis at P-band over tropical forest Sandrine Daniel, Pascale Dubois-Fernandez, Aurélien Arnaubec, Sébastien.
Chapter 4_ part 1b Baseband Data Transmission EKT 357 Digital Communications.
Page 1 ASAR Validation Review - ESRIN – December 2002 Advanced Technology Centre ASAR APP & APM Image Quality Peter Meadows & Trish Wright  Properties.
1 A conical scan type spaceborne precipitation radar K. Okamoto 1),S. Shige 2), T. Manabe 3) 1: Tottori University of Environmental Studies, 2: Kyoto University.
Forming InSAR products from RADARSAT-2 data -santhosh.
WP120 External Calibration of Spaceborne Microwave Remote Sensing System Sensors Objective:Evaluation of external calibration needs for a variety of microwave.
Information Warfare Technologies Inc. Calibration Techniques for Amplitude DF Systems AOC SYMPOSIUM OCTOBER 2005 Mr. Al Evans President Information Warfare.
Camp Sentinel II Radar System [4] -Installed outside US Army Camp in Vietnam in Antenna Dimensions: 3.5 m diameter x 1 m tall antenna. -2 kW.
Page 1ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Systematic Product Analysis Christopher Buck ENVISAT Programme ESA/ESTEC.
Labwork 3.
Shadowing.
Active Microwave Remote Sensing
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
Eng.: Ahmed Abdo AbouelFadl
Techniques to control noise and fading
Radio Coverage Prediction in Picocell Indoor Networks
Digital Communications Chapter 13. Source Coding
A study on the coexistence between Direct Air to Ground Communication (DA2GC) and Radars in the 5 GHz band Peter Trommelen, Rob van Heijster,
Calibration Activities of GCOM-W/AMSR2
Objectives Using a time series of data from radar sensors to detect and measure forest changes Combining different types of data, including: Multi polarisations.
Dr. Clincy Professor of CS
Instrument Characterization: Status
Design of a New Coded Aperture
Interpolation and Pulse Compression
Open book, open notes, bring a calculator
Instrument Considerations
Telecommunications Engineering Topic 2: Modulation and FDMA
Spaceborne Radar for Snowfall Measurements
Proposed best practices for Simultaneous Nadir Overpass (A Discussion)
Presentation transcript:

Alternating Polarization ´Single´ Look Complex Product Status Nominal Product Characteristics Impulse Response Measurements Ambiguity Measurements Noise Equivalent RCS Scalloping Measurements Localization Accuracy Conclusions Josep Closa ESA-ESRIN ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

APS Product Characteristics Slant range complex products One product contains two images in two possible polarization combinations: HH-VV HH-HV VV-VH Elevation antenna pattern and range spreading loss corrections are not applied during processing Product size of up to 1.2 Gbytes: 4 bytes per complex sample (2I + 2Q) Swath widths of 100 km (IS1) to 56 km (IS7) with azimuth extents of ~100 km Range resolution fixed to ~ 8.3 m (16 MHz chirp bandwidth used for all swaths) Natural pixel spacing (sampling frequency and PRF) ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

APS Product Characteristics Products processed with the modified range-Doppler phase preserving algorithm Total azimuth bandwidth is kept to 4 looks (2 azimuth looks per image) Azimuth resolution depends on number of pulses per burst + modulation of the IRF due to scansar acquisition ~ 6.7 m Doppler is estimated using data from both polarization and the same valued is used to process both images No window is applied during range processing Inverse of the azimuth antenna pattern is applied to the azimuth spectrum to descallop the images Range compression performed with nominal chirp Image normalization performed using constant reference values due to AP calibration pulse corruption ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 APS Product Examples ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 VV and VH Polarization image orbit 3712 HH and HV Polarization image orbit 3579

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 APS Product Examples ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Ceos Offset Test Ceos Offset Test performed on orbit 3579 over Resolute Bay (HV polarization) introducing a shift of 200 samples in range and azimuth Mean Phase difference: 0.006651 degrees. Mean absolute difference: 0.089921degrees Std. Dev: 0.928326 (requirements mean <0.1, stdev <5.5) No artefact detected in range. Azimuth processing blocks visible ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 IRF Analysis Analysis based on acquisitions over ESA transponders First analysis on the optimization of product digital values dynamic range I/Q peak values below optimum value Amplitude statistics on backscatter Edam in VV polarization orbit 3712 - IS2 Processing Gain too low ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 IRF Function Response is visible in both polarization images Modulation in the azimuth response Azimuth Resolution on modulated response: 5.6 m Azimuth resolution on envelope: 27.6 m Range Resolution: 8.35 m ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

Interpolated IRF function Edam VV resampled Orbit 3712 - IS2 ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

Range and Azimuth Resolution Range and azimuth resolution within requirements for most cases (theoretical value ± 10%) Range resolution: 8.35 ± 0.1 m Azimuth resolution: 6.11 ± 0.5 m Additional modulation detected on some azimuth responses Range resolution Azimuth resolution Theoretical range resolution: 8.31 m ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

Strange azimuth responses ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Range and Azimuth PSLR Range and azimuth PSLR within requirements (theoretical value 5 dB!!) Low azimuth PSLR values detected on the degradated azimuth IRF Theoretical range PSLR: -13.3 dB Theoretical azimuth PSLR: -3.5 dB Mean: 12.86 dB Stdev: 0.2 Mean: -3.28 dB Stdev: 0.3 Range PSLR Azimuth PSLR ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ISLR and Spurious Sidelobe Levels ISLR values slightly different from requirements (-0.64 dB) except for the cases with degradated azimuth IRF Spurious SLR significantly different from requirements (-25 dB) Mean: +1.45 dB Mean: -15.6 dB ISLR Spurious Sidelobe Levels ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Azimuth Ambiguities Azimuth ambiguities from the transponder response can be observed on Edam, Swifterband and Aalsmeer transponders Results in the range of -31.0dB to -23.12 dB Average PT azimuth ambiguity ratio: - 27.9 dB < Requirement: –25 dB Edam ambiguity response 3828 IS4 HV ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

Calibration Constant and Radiometric Stability Very few measurements to derive calibration constant Different calibration constants per beam to be compensated with updated nominal reference energy values High stability within the beam Almost no variation with polarization ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Cross- Talk Transponder response cal always be detected on both polarization images High variation of peak to peak intensity difference Peak Intensity Differences Edam HV on the resampled image ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Noise Equivalent RCS Azimuth modulation similar to scalloping detected on the cross-polar images for ALL the acquisitions Effect due to the descalloping function applied on thermal noise Noise measured on the sea areas (using previous calibration constants) for all the beams agrees with predicted estimates ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Scalloping Scalloping detected only on one image and over the sea area Scalloping visible on both polarization images Radiometric error due to scalloping 0.2 dB on both images ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

Localization Accuracy / Channel co-registration Localization accuracy derived from the difference between the estimated transponder position and the detected one Cross-talk on the transponders allows to give an estimate of the co-registration of the two images. Values within requirements <0.25*pixel ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002

ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002 Conclusions Modulated azimuth response APS characterization: two azimuth looks Internal calibration not used to perform product normalization Processing gains need to be increased Transponder responses can be detected on both polarization images Range and azimuth geometric resolution agree with expected values ISLR and Spurious Side Lobe Ratio different from expected values Very few transponder measurements per swath to derive calibration constant Different calibration constant per swath NES0 slightly better than predictions Almost no scalloping. Descalloping function can be detected on noise images Localization accuracy within 3 pixels except for some outliers Channel co-registration within requirements ENVISAT Cal/Val Workshop – ESRIN – 9/13 December 2002