Paper
19 July 2000 Target detection and recognition with polarimetric SAR
Author Affiliations +
Abstract
Target detection and recognition using polarimetric SAR data has been studied by using PHARUS and RAMSES data collected during the MIMEX campaign. Additionally very high-resolution ISAR data was used. A basic detection and recognition scheme has been developed, which includes polarimetric speckle- filtering, CFAR detection and the extraction of geometrical, intensity and polarimetric features. From the SAR images we conclude that polarimetric features can be useful to discriminate targets from clutter. At resolutions of 1 meter or better, shape and orientation recognition can be obtained with these features. To classify the targets, other features or other techniques have to be used. Examples are polarimetric decomposition techniques, of which two have been explored using the ISAR data.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rob J. Dekker and Albertus C. van den Broek "Target detection and recognition with polarimetric SAR", Proc. SPIE 4033, Radar Sensor Technology V, (19 July 2000); https://doi.org/10.1117/12.391848
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Cited by 3 scholarly publications.
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KEYWORDS
Polarimetry

Synthetic aperture radar

Target detection

Scattering

Image segmentation

Target recognition

Feature extraction

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