{"_buckets": {"deposit": "b7a99114-33da-4000-80e8-2a372eeb5c4a"}, "_deposit": {"id": "4245", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4245"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4245", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Change Detection of the Building Areas in Urban regions", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Myanmar is exposed to a number of naturalhazards, some of which have caused devastatingdamage in the recent past. According to the UNRisk Model, Myanmar ranks as the ‘most at risk’country for natural disasters. Coastal regions,particularly Rakhine State and the AyeyarwadyDelta Region, are at high risk for cyclones, stormsurges and tsunamis. As Myanmar falls on one ofthe two main earthquake belts in the world, muchof the country is prone to earthquake. After thedisaster occurred, we cannot classify completelythe building areas on widely damaged urbanareas many years later. Urban growth is thecritical feeds for the city planning and directlyeffects on the country development. Themodified Morphological Building Index (MBI) isapplied to extract building areas to know howmuch area has change. Then, matching-basedchange rule is applied to obtain changes areas. Inthe experiments show that the proposed methodcan achieve satisfactory correctness rate bycomparing with Change Vector Analysis (CVA)."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "modified MBI"}, {"interim": "change rule"}, {"interim": "CVA"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "20167.pdf", "filesize": [{"value": "1961 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1961000.0, "url": {"url": "https://meral.edu.mm/record/4245/files/20167.pdf"}, "version_id": "a9c50ed0-2829-469a-8e95-cbeb58aa5c4e"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourteenth International Conference On Computer Applications (ICCA 2016)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aung, Thida"}, {"subitem_authors_fullname": "Moe, Khaing Cho"}, {"subitem_authors_fullname": "Sein, Myint Myint"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2016-02-25"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/200"}, "item_title": "Change Detection of the Building Areas in Urban regions", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004245", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4245", "relation": {}, "relation_version_is_last": true, "title": ["Change Detection of the Building Areas in Urban regions"], "weko_shared_id": -1}