A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification

Highly accurate supervised deep learning-based classifiers for polarimetric synthetic aperture radar (PolSAR) images require large amounts of data with manual annotations. Unfortunately, the complex echo imaging mechanism results in a high labeling cost for PolSAR images. Extracting and transferring...

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Autors principals:	Hongwei Dong, Lingyu Si, Wenwen Qiang, Wuxia Miao, Changwen Zheng, Yuquan Wu, Lamei Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-03-01
Col·lecció:	Remote Sensing
Matèries:	unsupervised land cover classification polarimetric synthetic aperture radar deep learning polarimetric scattering characteristics adversarial domain adaptation
Accés en línia:	https://www.mdpi.com/2072-4292/15/7/1782
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