JPSSL: SAR Terrain Classification Based on Jigsaw Puzzles and FC-CRF

Effective features play an important role in synthetic aperture radar (SAR) image interpretation. However, since SAR images contain a variety of terrain types, it is not easy to extract effective features of different terrains from SAR images. Deep learning methods require a large amount of labeled...

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Principais autores:	Zhongle Ren, Yiming Lu, Biao Hou, Weibin Li, Feng Sha
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-05-01
Serija:	Remote Sensing
Teme:	synthetic aperture radar (SAR) self-supervised learning jigsaw puzzle terrain classification
Online dostop:	https://www.mdpi.com/2072-4292/16/9/1635
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