Multifeature fusion for polarimetric synthetic aperture radar image classification of sea ice

doi:10.1117/1.JRS.8.083534

	Multifeature fusion for polarimetric synthetic aperture radar image classification of sea ice
	Guo, Hao 1; Fan, Qing 1; Zhang, Xi 2; An, Jubai 1
刊名	JOURNAL OF APPLIED REMOTE SENSING
	2014-11-03
卷号	8
关键词	synthetic aperture radar image classification pattern recognition feature fusion fuzzy theory
ISSN号	1931-3195
DOI	10.1117/1.JRS.8.083534
英文摘要	Sea ice conditions are so heterogeneous, and the differences between the different ice types are less varied than that of land targets, so only using polarimetric or textural features would lead to misclassification of polarimetric synthetic aperture radar (PolSAR) data of sea ice. To support the identification of different ice types, the fusion of textural and polarimetric features would be a good solution. Simple discrimination analysis is used to rationalize a preferred features subset. Some features are analyzed, which include entropy H/alpha alpha/anisotropy A and three kinds of texture statistics (entropy, contrast, and correlation), in the C-and L-band polarimetric mode. After that, a multiobjective fuzzy decision model is proposed for supervised PolSAR data classification of sea ice, and the targets are categorized according to the principle of maximum membership grade. In consideration of the interference of the correlation among features, the model is based on Mahalanobis distance in which the covariances between the selected heterogeneous features could restrain the interference among redundant features. In the end, the effectiveness of the algorithm for PolSAR image classification of sea ice is demonstrated through the analysis of some experimental results. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
资助项目	State Oceanic Administration of China[2013418025-5]
WOS关键词	UNSUPERVISED SEGMENTATION ; TEXTURAL FEATURES ; SAR IMAGES ; ERS
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
WOS记录号	WOS:000348675700002
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/26316]
专题	自然资源部第一海洋研究所
通讯作者	Guo, Hao
作者单位	1.Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China 2.State Ocean Adm China, Inst Oceanog 1, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Guo, Hao,Fan, Qing,Zhang, Xi,et al. Multifeature fusion for polarimetric synthetic aperture radar image classification of sea ice[J]. JOURNAL OF APPLIED REMOTE SENSING,2014,8.
APA	Guo, Hao,Fan, Qing,Zhang, Xi,&An, Jubai.(2014).Multifeature fusion for polarimetric synthetic aperture radar image classification of sea ice.JOURNAL OF APPLIED REMOTE SENSING,8.
MLA	Guo, Hao,et al."Multifeature fusion for polarimetric synthetic aperture radar image classification of sea ice".JOURNAL OF APPLIED REMOTE SENSING 8(2014).