Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set

doi:10.1109/LGRS.2018.2830794

	Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set
	Wu, Wenjin 1; Li, Xinwu 1; Guo, Huadong 1; Liang, Lei 2
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2018-08-01
卷号	15 期号:8 页码:1204-1208
关键词	Feature extraction image classification ultra-high resolution (UHR) synthetic aperture radar (SAR)
ISSN号	1545-598X
DOI	10.1109/LGRS.2018.2830794
通讯作者	Li, Xinwu(lixw@radi.ac.cn)
英文摘要	Aiming at the problems and prospects in millimeter-wave ultrahigh resolution synthetic aperture radar applications, we have developed a method with a new feature set for sophisticated classification of large images. It includes innovative parameters derived from different kinds of spectral and characteristic signatures, such as the correlation signature, radial spectrum, and angular spectrum. These features can mine repetitive information from the fragmented patterns and enhance the texture description in different aspects. In the experiment, the proposed feature set achieves 89% overall accuracy which is 25% higher compared with the gray-level co-occurrence matrix feature set. The four new features contribute to over 50% of the accuracy improvement with a significant increase of the accuracy for vehicles and show a fair performance for all the categories.
资助项目	Young Scientists Fund of the National Natural Science Foundation of China[41601361] ; Director Program through RADI, CAS[Y6SJ1700CX]
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000440204900014
资助机构	Young Scientists Fund of the National Natural Science Foundation of China ; Director Program through RADI, CAS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54509]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Xinwu
作者单位	1.Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wu, Wenjin,Li, Xinwu,Guo, Huadong,et al. Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2018,15(8):1204-1208.
APA	Wu, Wenjin,Li, Xinwu,Guo, Huadong,&Liang, Lei.(2018).Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,15(8),1204-1208.
MLA	Wu, Wenjin,et al."Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 15.8(2018):1204-1208.