Object-Oriented Unsupervised Classification of PolSAR Images Based on Image Block

Land Use and Land Cover (LULC) classification is one of the tasks of Polarimetric Synthetic Aperture Radar (PolSAR) images’ interpretation, and the classification performance of existing algorithms is highly sensitive to the class number, which is inconsistent with the reality that LULC classificati...

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書誌詳細

主要な著者:	Binbin Han, Ping Han, Zheng Cheng
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-08-01
シリーズ:	Remote Sensing
主題:	PolSAR unsupervised classification density peak clustering <i>h</i>/<i>q</i> decomposition
オンライン･アクセス:	https://www.mdpi.com/2072-4292/14/16/3953
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