A New Algorithm of Target Classification Based on Maximum and Minimum Polarizations

The polarization signature of a given pixel in a radar image represents scattering mechanisms from various scattering elements. This paper presents an analysis of maximum and minimum polarizations of five kinds of polarization signatures: co-polarized, cross-polarized, completely polarized, complete...

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Bibliographic Details
Published in2006 CIE International Conference on Radar pp. 1 - 4
Main Authors Wang Yang, Lu Jiaguo, Zhang Changyao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2006
Subjects
Classification algorithms
maximum and minimum polarizations
polarimetric SAR
Polarization
polarization signatures
Radar imaging
Radar polarimetry
Radar remote sensing
Radar scattering
Radar signal processing
Signal processing algorithms
Surface waves
target decomposition
Wavelength measurement
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Summary:The polarization signature of a given pixel in a radar image represents scattering mechanisms from various scattering elements. This paper presents an analysis of maximum and minimum polarizations of five kinds of polarization signatures: co-polarized, cross-polarized, completely polarized, completely unpolarized, and total available power signatures. We propose a new algorithm of target classification based on these maximum and minimum polarizations, then, conduct the experiment on the measured polarimetric SAR data. Experimental results show that this algorithm is robust to pixel-by-pixel target classification in radar images
ISBN:0780395824
9780780395824
DOI:10.1109/ICR.2006.343544