Mixture multiscale autoregressive modelling of SAR imagery for segmentation

CASIA OpenIR > 09年以前成果

	Mixture multiscale autoregressive modelling of SAR imagery for segmentation
	Wen, XB ; Tian, Z
发表期刊	ELECTRONICS LETTERS
	2003-08-21
卷号	39 期号:17 页码:1272-1274
文章类型	Article
摘要	A new and efficient multiscale model for the segmentation of synthetic aperture radar imagery namely the mixture multiscale autoregressive (MMAR) model, is presented. The estimation of parameters is easily performed via expectation maximisation algorithm. Experimental results of the MMAR model are proposed and compared with those of previous methods.
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000185206100030
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9915
专题	09年以前成果
作者单位	1.Northwestern Polytech Univ, Dept Comp Sci & Technol, Xian 710072, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Northwestern Polytech Univ, Dept Math & Informat Sci, Xian 710072, Peoples R China 4.Chinese Acad Sci, Inst Remote Sensing Applicat, Lab Remote Sensing Informat Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wen, XB,Tian, Z. Mixture multiscale autoregressive modelling of SAR imagery for segmentation[J]. ELECTRONICS LETTERS,2003,39(17):1272-1274.
APA	Wen, XB,&Tian, Z.(2003).Mixture multiscale autoregressive modelling of SAR imagery for segmentation.ELECTRONICS LETTERS,39(17),1272-1274.
MLA	Wen, XB,et al."Mixture multiscale autoregressive modelling of SAR imagery for segmentation".ELECTRONICS LETTERS 39.17(2003):1272-1274.