PolSAR Image Classification via D-KSVD and NSCT-Domain Features Extraction.

IEEE Geoscience and Remote Sensing Letters(2016)

引用 34|浏览56
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摘要
Polarimetric synthetic aperture radar (PolSAR) image classification is a powerful and important application in remote sensing. In this letter, we propose a PolSAR image classification method based on discriminative dictionary learning (D-KSVD) model and nonsubsampled contourlet transform (NSCT)-domain features. The D-KSVD model is used in our experiment to classify PolSAR images and is more time e...
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关键词
Feature extraction,Training,Transforms,Synthetic aperture radar,Scattering,Matrix decomposition
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