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Automatic Building Change Detection and Open Space Area Extraction in urban areas

http://hdl.handle.net/20.500.12678/0000005068
91483fdf-e1ee-4deb-b2cd-11e8b88af9a2
3132f7a9-7cae-4be2-b580-961932a2966c
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12024.pdf 12024.pdf (208 Kb)
Publication type
Article
Upload type
Publication
Title
Title Automatic Building Change Detection and Open Space Area Extraction in urban areas
Language en
Publication date 2014-02-17
Authors
Moe, Khaing Cho
Sein, Myint Myint
Description
Automatic change detection and open space areaextraction in urban environment is one of the crucialcomponents towards the efficient updating ofGeographic Information System (GIS), governmentdecision-making, urban land management andplanning. Original Morphological Building Index(MBI) can extract interest building features for multitemporalhigh-resolution satellite image but thisapproach wrongly classified as buildings. In thispaper, jointly approach of modified MBI, NormalizedDifferent Vegetation Index (NDVI) and Entropy isdeveloped for identifying low quality satellite imagesover different years. Then, matching-based changerule is applied to obtain changes area of urban region.The proposed method is insensitive to the geometricaldifferences of buildings caused by different imagingconditions and is able to significantly reduce falsealarms and also achieves much improved detectionaccuracy and overall performance. The effectivenessof the method is validated by comparing with MBIbasedChange Vector Analysis (CVA) andMultivariate alteration detection (MAD) transformation.
Keywords
feature extraction, modified MBI, change detection, matching-based change rule
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/96
Journal articles
Twelfth International Conference On Computer Applications (ICCA 2014)
Conference papers
Books/reports/chapters
Thesis/dissertations
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