2026-07-27T07:25:45Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5068 2022-03-24T23:14:22Z 1582963302567:1597824273898 user-ucsy

Automatic Building Change Detection and Open Space Area Extraction in urban areas Moe, Khaing Cho Sein, Myint Myint 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. 2014-02-17 http://hdl.handle.net/20.500.12678/0000005068 https://meral.edu.mm/records/5068