On the accuracy of crosstalk calibration of polarimetric SAR using natural clutter statistics

Journal Article · Sun Feb 28 23:00:00 EST 1993 · IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/36.214921· OSTI ID:6281346

Cordey, R A ^[1]

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1. GEC-Marconi Research Centre, Chelmsford (United Kingdom)

A method for the routine correction of fully polarimetric synthetic aperture radar (SAR) images has been proposed by van Zyl which uses assumed statistical properties of natural distributed targets. The method has the potential to improve dramatically the accuracy of polarimetric imagery contaminated by antenna crosstalk and may be of importance for future spaceborne polarimetric SAR's as well as current airborne systems. The accuracy of the method is assessed here when the statistics of clutter deviate from the assumed form, and limits are placed on likely acceptable deviations. An investigation is presented of these statistics for a heterogeneous forestry and agricultural scene imaged by the NASA/JPL radar. The only significant deviations were found over certain man-made targets, including villages, and a single agricultural field. The results lend support to the routine use of the van Zyl method in such applications.

• OSTI ID: 6281346
• Journal Information: IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States) Vol. 31:2; ISSN IGRSD2; ISSN 0196-2892
• Country of Publication: United States
• Language: English

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47 OTHER INSTRUMENTATION
58 GEOSCIENCES
580000* -- Geosciences
ACCURACY
AERIAL SURVEYING
CALIBRATION
CORRECTIONS
ELECTROMAGNETIC RADIATION
IMAGE PROCESSING
LAND USE
MATHEMATICAL MODELS
MATHEMATICS
MEASURING INSTRUMENTS
MICROWAVE RADIATION
PROCESSING
RADAR
RADIATIONS
RANGE FINDERS
REMOTE SENSING
SCATTERING
STATISTICAL MODELS
STATISTICS
SYNTHETIC-APERTURE RADAR