Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach

European Space Agency, (Special Publication) ESA SP

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Bibliographic Details
Main Author:	Bao, M.
Other Authors:	CTR FOR REM IMAGING,SENSING & PROCESSING
Format:	Conference or Workshop Item
Published:	2014
Subjects:	Adaptive neighborhood model Classification, Fuzzy c-mean clustering InSAR coherence image Multi-temporal SAR images Possibility c-mean clustering Simulated annealing
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/112855
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-112855
record_format	dspace
spelling	sg-nus-scholar.10635-1128552024-11-13T15:25:43Z Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach Bao, M. CTR FOR REM IMAGING,SENSING & PROCESSING Adaptive neighborhood model Classification, Fuzzy c-mean clustering InSAR coherence image Multi-temporal SAR images Possibility c-mean clustering Simulated annealing European Space Agency, (Special Publication) ESA SP 461 811-816 ESPUD 2014-11-28T07:57:34Z 2014-11-28T07:57:34Z 2000 Conference Paper Bao, M. (2000). Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach. European Space Agency, (Special Publication) ESA SP (461) : 811-816. ScholarBank@NUS Repository. 03796566 http://scholarbank.nus.edu.sg/handle/10635/112855 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Adaptive neighborhood model Classification, Fuzzy c-mean clustering InSAR coherence image Multi-temporal SAR images Possibility c-mean clustering Simulated annealing
spellingShingle	Adaptive neighborhood model Classification, Fuzzy c-mean clustering InSAR coherence image Multi-temporal SAR images Possibility c-mean clustering Simulated annealing Bao, M. Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
description	European Space Agency, (Special Publication) ESA SP
author2	CTR FOR REM IMAGING,SENSING & PROCESSING
author_facet	CTR FOR REM IMAGING,SENSING & PROCESSING Bao, M.
format	Conference or Workshop Item
author	Bao, M.
author_sort	Bao, M.
title	Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
title_short	Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
title_full	Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
title_fullStr	Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
title_full_unstemmed	Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach
title_sort	classification of multi-temporal sar images and insar coherence images using adaptive neighborhood model and simulated annealing approach
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/112855
_version_	1821206105896779776

Classification of multi-temporal SAR images and Insar coherence images using adaptive neighborhood model and simulated annealing approach

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