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...

全面介紹

書目詳細資料

發表在:	Leida xuebao
Main Authors:	HU Tao, LI Weihua, QIN Xianxiang, WANG Peng, YU Wangsheng, LI Jun
格式:	Article
語言:	英语
出版:	China Science Publishing & Media Ltd. (CSPM) 2019-08-01
主題:	Polarimetric Synthetic Aperture Radar (PolSAR) Terrain classification Conditional Random Field (CRF) Convolutional Neural Network (CNN)
在線閱讀:	http://radars.ie.ac.cn/article/doi/10.12000/JR18065?viewType=HTML