UNSUPERVISED CHANGE DETECTION IN SAR IMAGES USING A MULTICOMPONENT HMC MODEL-Reference-Cited by-同舟云学术

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UNSUPERVISED CHANGE DETECTION IN SAR IMAGES USING A MULTICOMPONENT HMC MODEL

Published:2004-08 Issue: Volume: Page:
ISSN:
Container-title:Analysis of Multi-Temporal Remote Sensing Images
language:
Short-container-title:

Author:

DERRODE S.¹,MERCIER G.²,PIECZYNSKI W.³

Affiliation:

1. ENSPM, GSM, Institut Fresnel (UMR 6133), D. U. de Saint Jérôme, 13013 Marseille, France

2. ENST Bretagne, ITI Department, Technopôle Brest-Iroîse, BP 832, 29285 Brest Cedex, France

3. INT, CITI Department, 9, rue Charles Fourier, 91011 Evry Cedex, France

Publisher

WORLD SCIENTIFIC

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Markov-Potts Prior Model and Fuzzy Membership Based Nonparametric SAR Image Change Detection;Communications in Computer and Information Science;2017

2. A Bayesian approach to unsupervised multiscale change detection in synthetic aperture radar images;Signal Processing;2010-05

3. Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model;Pattern Recognition;2007-03

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