Improved Ground Moving Target Indication Method in Heterogeneous Environment With Polarization-Aided Adaptive Processing.

IEEE Geoscience and Remote Sensing Letters(2016)

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Abstract
Adaptive ground moving target indication (GMTI) algorithms based on the sample matrix inversion require the availability of a secondary data (training data) set to determine the adaptive filter. A polarization-aided GMTI method is devised in this letter for selecting this training data, which could improve the detection performance in heterogeneous environments. In particular, improved classificat...
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Key words
Covariance matrices,Training,Clutter,Synthetic aperture radar,Signal processing algorithms,Image color analysis
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