{"_buckets": {"deposit": "ecaef690-cb4c-41ae-ace9-8ae1e953f394"}, "_deposit": {"id": "4248", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4248"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4248", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Building Area Detection of Urban region based on GIS", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Rapid urbanization and urban growth iscontinuing to be one of the crucial issues of globalchange affecting physical dimensions of cities. In thisstudy, building growth change detection is investigatedas buildings are one of the most dynamic structures inurban areas. The modified MBI is applied to extractbuilding features to know how much area haschanged.In this system, height information is notconsidered for building extraction because of withoutusing multispectral band images and Depth.Toaccurate the position of building extraction index inchange detection process, image registration is usedthat seeks to remove the two-date images geometricinconsistent object using SURF and RANSAC. It issignificantly reduce error rates and improve overallaccuracy of change detection process.The experimentsshow that the proposed change detection algorithmscan achieves satisfactory correctness rates with a lowlevel of error rate, and give better result than SIFTfeature extraction method in image registration."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "urban growth"}, {"interim": "modified MBI"}, {"interim": "SURF"}, {"interim": "SIFT"}, {"interim": "change rule"}]}, "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": "7.Building Area Detection of Urban region based on GIS.pdf", "filesize": [{"value": "8165 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 8165000.0, "url": {"url": "https://meral.edu.mm/record/4248/files/7.Building Area Detection of Urban region based on GIS.pdf"}, "version_id": "1270d9b7-55e4-4620-ae74-935781f53865"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conferences on Computer Applications(ICCA 2015)", "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": "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": "2015-02-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/203"}, "item_title": "Building Area Detection of Urban region based on GIS", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004248", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4248", "relation": {}, "relation_version_is_last": true, "title": ["Building Area Detection of Urban region based on GIS"], "weko_shared_id": -1}