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A new algorithm for remotely sensed image texture classification and segmentation
Wang, YW; Wang, YF; Xue, Y; Gao, W
2004-10-01
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
卷号25期号:19页码:4043-4050
摘要In this paper, we propose a new algorithm for remotely sensed image texture classification and segmentation. We observe that the traditional method least square error ( LSE) is unstable in practical applications. This motivates us to develop a more stable method. We have proposed the regularization technique to suppress the instability of LSE in previous research. Our contribution in this paper is that we propose a new stable method, which is based on the total variation ( TV) for reducing instability in texture analysis, and apply it to remotely sensed image texture classification and segmentation. Experimental results on remotely sensed images demonstrate that our new algorithm is superior to LSE and seems promising in applications.
DOI10.1080/01431160310001654446
收录类别SCI
语种英语
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000223657100017
出版者TAYLOR & FRANCIS LTD
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/9871
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, YW
作者单位1.Chinese Acad Sci, Grad Sch, Comp Technol Inst, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Remote Sensing Applicat, Lab Remote Sensing Informat Sci, Beijing 100101, Peoples R China
3.London Metropolitan Univ, Dept Comp, London N7 8DB, England
推荐引用方式
GB/T 7714
Wang, YW,Wang, YF,Xue, Y,et al. A new algorithm for remotely sensed image texture classification and segmentation[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2004,25(19):4043-4050.
APA Wang, YW,Wang, YF,Xue, Y,&Gao, W.(2004).A new algorithm for remotely sensed image texture classification and segmentation.INTERNATIONAL JOURNAL OF REMOTE SENSING,25(19),4043-4050.
MLA Wang, YW,et al."A new algorithm for remotely sensed image texture classification and segmentation".INTERNATIONAL JOURNAL OF REMOTE SENSING 25.19(2004):4043-4050.
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