UNSUPERVISED CHANGE DETECTION WITH VERY HIGH-RESOLUTION SAR IMAGES BY MULTISCALE ANALYSIS AND MARKOV RANDOM FIELDS

被引：3

作者：

Moser, Gabriele ^{[1
]}

Serpico, Sebastiano B. ^{[1
]}

机构：

[1] Univ Genoa, Dept Biophys & Elect Eng DIBE, I-16145 Genoa, Italy

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Unsupervised change detection; very-high resolution synthetic aperture radar; wavelets; Markov random fields; generalized Gaussian distribution;

D O I：

10.1109/IGARSS.2010.5652435

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Change detection represents an important tool in environmental monitoring and disaster management. Here, a novel unsupervised change-detection method is proposed for very high-resolution SAR images, by integrating wavelet multi-scale feature extraction, Markov random fields for contextual modeling, and generalized Gaussian models. Experiments with COSMO-SkyMed data remark the effectiveness of the method as compared with previous methods.

引用

页码：3082 / 3085

页数：4

共 50 条

[1] UNSUPERVISED CHANGE DETECTION WITH HIGH-RESOLUTION SAR IMAGES BY EDGE-PRESERVING MARKOV RANDOM FIELDS AND GRAPH-CUTS
Moser, Gabriele
Serpico, Sebastiano B.
[J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1984 - 1987
[2] Multiscale Unsupervised Change Detection on Optical Images by Markov Random Fields and Wavelets
Moser, Gabriele
Angiati, Elena
Serpico, Sebastiano B.
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (04) : 725 - 729
[3] Multiscale unsupervised change detection by Markov random fields and wavelet transforms
Moser, Gabriele
Angiati, Elena
Serpico, Sebastiano B.
[J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XIII, 2007, 6748
[4] Novel Multiscale Decision Fusion Approach to Unsupervised Change Detection for High-Resolution Images
Shao, Pan
Yi, Yunqi
Liu, Zhewei
Dong, Ting
Ren, Dong
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[5] Unsupervised change detection in very high spatial resolution COSMO-SkyMed SAR images
Acito, Nicola
Resta, Salvatore
Diani, Marco
Corsini, Giovanni
Rossi, Alessandro
[J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
[6] MULTITEMPORAL REGION-BASED CLASSIFICATION OF HIGH-RESOLUTION IMAGES BY MARKOV RANDOM FIELDS AND MULTISCALE SEGMENTATION
Moser, Gabriele
Serpico, Sebastiano B.
[J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 102 - 105
[7] Robust Unsupervised Change Detection with Markov Random Fields
Melgani, Farid
Bazi, Yakoub
[J]. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 208 - 211
[8] UNSUPERVISED CHANGE DETECTION FRAMEWORKS FOR VERY HIGH SPATIAL RESOLUTION IMAGES
Pacifici, F.
Padwick, C.
Marchisio, G.
[J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 2567 - 2570
[9] Building Change Detection in Multitemporal Very High Resolution SAR Images
Marin, Carlo
Bovolo, Francesca
Bruzzone, Lorenzo
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05): : 2664 - 2682
[10] An Unsupervised Ship Classifier for High-Resolution SAR Images
Chen, Longtao
Yao, Ping
Wang, Hao
Wang, Zhensong
[J]. PROCEEDINGS OF THE 2013 ASIA-PACIFIC COMPUTATIONAL INTELLIGENCE AND INFORMATION TECHNOLOGY CONFERENCE, 2013, : 524 - 530

← 1 2 3 4 5 →