利用小波域HMC模型进行遥感图像变化检测

doi:10.3969/j.issn.1001-2400.2012.03.007

J4 ›› 2012, Vol. 39 ›› Issue (3): 43-49.doi: 10.3969/j.issn.1001-2400.2012.03.007

利用小波域HMC模型进行遥感图像变化检测

辛芳芳^1,2;焦李成¹;王桂婷¹;万红林¹

(1. 西安电子科技大学智能感知与图像理解教育部重点实验室，陕西西安 710071;
2. 中国航天科技集团 771研究所，陕西西安 710054)

收稿日期:2011-04-04 出版日期:2012-06-20 发布日期:2012-07-03
通讯作者: 辛芳芳
作者简介:辛芳芳(1982-)，女，西安电子科技大学博士研究生，E-mail: xf9258@163.com．
基金资助:
国家自然科学基金资助项目(61072106，60803097，60972148，60971128，60970066，61003198，61001206, 61050110144);国家教育部博士点基金资助项目(200807010003);高等学校学科创新引智计划(111计划)资助项目(B07048);国家部委科技资助项目(9140A07011810DZ0107,9140A07021010DZ0131);中央高校基本科研业务费专项资金资助项目(JY10000902001, K50510020001,JY10000902045)

Change detection in multi-temporal remote sensing images based on the wavelet-domain hidden Markov chain model

XIN Fangfang^1,2;JIAO Licheng¹;WANG Guiting¹;WAN Honglin¹

(1. Ministry of Education Key Lab. of Intelligent Perception and Image Understanding, Xidian Univ., Xi'an 710071， China;
2. 771 Inst. of China Aerospace Sci. and Tech. Corporation, Xi'an 710054， China)

Received:2011-04-04 Online:2012-06-20 Published:2012-07-03
Contact: XIN Fangfang

摘要/Abstract

摘要：

传统阈值检测算法都是基于单函数模型进行的，当差异影像分布函数较复杂时检测结果较差．针对这个问题，提出一种基于小波域的隐马尔科夫链模型的遥感图像变化检测算法．将双高斯混合模型与小波变换结合，解决了单函数模型匹配率低的问题，并通过小波变换引入了图像的空间信息，提高了检测精度．利用双高斯混合模型对小波分解后的多层差异影像进行拟合，根据拟合结果判定待检测点类别．对得到的多层初始分割结果，利用隐马尔科夫链模型根据连续最大后验概率融合，得到最终变化检测图．对真实遥感数据集进行实验，证明这种算法可以得到较好的检测结果．

关键词: 变化检测, 双高斯混合模型, 小波变换, 隐马尔科夫链模型

Abstract:

The traditional threshold algorithms detect the changes in multitemporal remote sensing images based on the analysis of the signal function model, which has a poor accuracy for difference images with complex distribution. In this paper, a new approach is proposed by virtue of the double Gaussian mixture model and the wavelet transform. The proposed algorithm has better matching than the signal function model and introduces the spatial information by using the wavelet transform. After using the double Gaussian mixture models to detect the changed regions, the change maps in different scales are fused using the HMC model based on sequential maximum a posteriori estimation. The experiments on the real remote sensing images confirm the effectiveness of the proposed algorithm.

Key words: change detection, double Gaussian mixture model, wavelet transform, hidden Markov chain models

中图分类号:

TP751

辛芳芳;焦李成;王桂婷;万红林. 利用小波域HMC模型进行遥感图像变化检测[J]. J4, 2012, 39(3): 43-49.

XIN Fangfang;JIAO Licheng;WANG Guiting;WAN Honglin. Change detection in multi-temporal remote sensing images based on the wavelet-domain hidden Markov chain model[J]. J4, 2012, 39(3): 43-49.

参考文献

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利用小波域HMC模型进行遥感图像变化检测

Change detection in multi-temporal remote sensing images based on the wavelet-domain hidden Markov chain model

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