Terrain Classification of Polarimetric Synthetic Aperture Radar Images Based on Deep Learning and Conditional Random Field Model

In recent years, Polarimetric Synthetic Aperture Radar (PolSAR) image classification has been investigated extensively. The traditional PolSAR image terrain classification methods result in a weak feature representation. To overcome this limitation, this study aims to propose a terrain classificatio...

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Bibliografske podrobnosti

Principais autores:	HU Tao, LI Weihua, QIN Xianxiang, WANG Peng, YU Wangsheng, LI Jun
Format:	Artigo
Jezik:	Inglês
Izdano:	China Science Publishing & Media Ltd. (CSPM) 2019-08-01
Serija:	Leida xuebao
Teme:	Polarimetric Synthetic Aperture Radar (PolSAR) Terrain classification Conditional Random Field (CRF) Convolutional Neural Network (CNN)
Online dostop:	http://radars.ie.ac.cn/article/doi/10.12000/JR18065?viewType=HTML
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