Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification

Deep learning can archive state-of-the-art performance in polarimetric synthetic aperture radar (PolSAR) image classification with plenty of labeled data. However, obtaining large number of accurately labeled samples of PolSAR data is very hard, which limits the practical use of deep learning. There...

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Bibliografske podrobnosti

Principais autores:	Lei Wang, Xin Xu, Rong Gui, Rui Yang, Fangling Pu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-12-01
Serija:	Remote Sensing
Teme:	PolSAR image unsupervised classification mutual information convolutional LSTM rotation domain
Online dostop:	https://www.mdpi.com/2072-4292/12/24/4075
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