DocumentCode :
1242367
Title :
Compact polarimetry based on symmetry properties of geophysical media: the π/4 mode
Author :
Souyris, Jean-Claude ; Imbo, Patrick ; Fjørtoft, Roger ; Mingot, Sandra ; Lee, AndJong-Sen
Author_Institution :
Centre Nat. d´´Etudes Spatiales, Toulouse, France
Volume :
43
Issue :
3
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
634
Lastpage :
646
Abstract :
We assess the performance of synthetic aperture radar (SAR) compact polarimetry architectures based on mixed basis measurements, where the transmitter polarization is either circular or orientated at 45°(π/4), and the receivers are at horizontal and vertical polarizations with respect to the radar line of sight. An original algorithm is proposed to reconstruct the full polarimetric (FP) information from this architecture. The performance assessment is twofold: it first concerns the level of information preserved in comparison with FP, both for point target analysis and crop fields classification, using L-band SIRC/XSAR images acquired over Landes forest and Jet Propulsion Laboratory AIRSAR images acquired over Flevoland. Then, it addresses the space implementation complexity, in terms of processed swath, downloading features, power budget, calibration, and ionospheric effects. The polarization uniqueness in transmission of this mixed basis mode, hereafter referred to as the π/4 mode, maintains the standard lower pulse repetition frequency operation and hence maximizes the coverage of the sensor. Because of the mismatch between transmitter and receiver basis, the power budget is deteriorated by a factor of 3 dB, but it can partly be compensated.
Keywords :
crops; forestry; geophysical signal processing; image classification; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; AIRSAR images; France; Gascony; Jet Propulsion Laboratory; L-band SIRC images; Landes forest; XSAR images; compact polarimetry architecture; crop classification; full polarimetric information; geophysical media; partial polarimetry; radar polarimetry; spaceborne radar; synthetic aperture radar; Geophysical measurements; Image analysis; Image reconstruction; Information analysis; Polarization; Radar imaging; Radar measurements; Radar polarimetry; Synthetic aperture radar; Transmitters;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.842486
Filename :
1396337
Link To Document :
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