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Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar

Author:
Fandos, Raquel
,
Zoubir, Abdelhak M.
,
Siantidis, Konstantinos
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TGRS.2013.2260863
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/958158
Keyword(s): feature extraction,geophysical image processing,image classification,image segmentation,oceanographic techniques,synthetic aperture sonar,SFFS method,classification systems,feature extraction,feature selection algorithm,feature-based ADAC system unified design,mine hunting applications,optimal feature subset,sequential forward floating selection,synthetic aperture sonar,synthetic aperture sonar images,underwater object automatic classification,underwater object automatic detecti
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    Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar

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contributor authorFandos, Raquel
contributor authorZoubir, Abdelhak M.
contributor authorSiantidis, Konstantinos
date accessioned2020-03-12T18:25:42Z
date available2020-03-12T18:25:42Z
date issued2014
identifier issn0196-2892
identifier other6567992.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/958158
formatgeneral
languageEnglish
publisherIEEE
titleUnified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar
typeJournal Paper
contenttypeMetadata Only
identifier padid7990584
subject keywordsfeature extraction
subject keywordsgeophysical image processing
subject keywordsimage classification
subject keywordsimage segmentation
subject keywordsoceanographic techniques
subject keywordssynthetic aperture sonar
subject keywordsSFFS method
subject keywordsclassification systems
subject keywordsfeature extraction
subject keywordsfeature selection algorithm
subject keywordsfeature-based ADAC system unified design
subject keywordsmine hunting applications
subject keywordsoptimal feature subset
subject keywordssequential forward floating selection
subject keywordssynthetic aperture sonar
subject keywordssynthetic aperture sonar images
subject keywordsunderwater object automatic classification
subject keywordsunderwater object automatic detecti
identifier doi10.1109/TGRS.2013.2260863
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue5
filesize3817317
citations0
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