An adaptive approach to reducing registration noise effects in unsupervised change detection

被引:55
|
作者
Bruzzone, L [1 ]
Cossu, R [1 ]
机构
[1] Univ Trent, Dept Informat & Commun Technol, I-38050 Trent, Italy
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2003年 / 41卷 / 11期
关键词
change detection; change vector analysis; image registration; multitemporal images; nonparametric adaptive estimation; registration noise; remote sensing; unsupervised techniques;
D O I
10.1109/TGRS.2003.817268
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this paper, an approach to reducing the effects of registration noise in unsupervised change detection is proposed. The approach is formulated in the framework of the change vector analysis (CVA) technique. It is composed of two main phases. The first phase aims at estimating in an adaptive way (given the specific pair of images considered) the registration-noise distribution in the magnitude-direction domain of the difference vectors. The second phase exploits the estimated distribution to define an effective decision strategy to be applied to the difference image. Such a strategy allows one to perform change detection by significantly reducing the effects of registration noise. Experimental results obtained on simulated and real multitemporal datasets confirm the effectiveness of the proposed approach.
引用
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页码:2455 / 2465
页数:11
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