Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF

Synthetic aperture radar (SAR) image segmentation aims at generating homogeneous regions from a pixel-based image and is the basis of image interpretation. However, most of the existing segmentation methods usually neglect the appearance and spatial consistency during feature extraction and also req...

詳細記述

書誌詳細

主要な著者:	Fei Ma, Fei Gao, Jinping Sun, Huiyu Zhou, and Amir Hussain
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2019-03-01
シリーズ:	Remote Sensing
主題:	synthetic aperture radar (SAR) segmentation conditional random fields (CRF) conditional generative adversarial nets (CGAN) neighborhood consistency
オンライン･アクセス:	http://www.mdpi.com/2072-4292/11/5/512
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