{"created":"2020-09-01T15:14:50.350481+00:00","id":4662,"links":{},"metadata":{"_buckets":{"deposit":"49e0c10d-3b8e-4529-8447-4c7ac24cfce7"},"_deposit":{"id":"4662","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4662"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4662","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Detecting the damaged area is the critical taskfor recovery and reconstruction work. Traditionaldamage detection or change detection method focuson two dimensional changes detection, whereas thetwo dimensional information delivered by the imagesis often not sufficient and accurate when dealing withbuilding damage detection. In 24th August of 2016,the magnitude 6.8 earthquake struck at the historiccity of Bagan, Myanmar. It caused huge damagedportion in historic pagodas in Bagan. The proposedmethod aims to detect the damaged area of theancient pagodas after the earthquake. The pointclouds output from the Pix4D software are used toinput the system. The unnecessary point clouds areeliminated and calculate the damaged percentage ofthe specific pagodas. The post 3D images and theirpoint cloud are used to estimate the damaging area.The purpose system detects the percentage of thedamaged portion of the whole pagoda."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"unnamed aerial vehicle (UAV)"},{"interim":"3D image"},{"interim":"3D point clouds"},{"interim":"damaged Area"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-03"}],"displaytype":"preview","filename":"156-160.pdf","filesize":[{"value":"408 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4662/files/156-160.pdf"},"version_id":"15440d36-9693-466b-bae6-d459c91ccc17"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Sixteenth International Conferences on Computer Applications(ICCA 2018)","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":"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":"2018-02-22"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/315"},"item_title":"Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"4662","relation_version_is_last":true,"title":["Detecting the 3D Damaged Area of Historic Pagodas Using Vanishing Point"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T02:24:01.006971+00:00"}