{"_buckets": {"deposit": "c688905a-b51f-4135-b8de-8410ca333ba7"}, "_deposit": {"id": "3473", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3473"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3473", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "3D building Reconstruction from Google Earth Satellite Images", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The system is aimed to develop the 3D buildingmodel of urban area with low resolution satelliteimages from Google earth that provides to create thethree dimensional geographic information systems(GIS). In this paper, an efficient building extractionalgorithm is introduced based on color segmentationand morphological method. The approach is based onthe affine projection to compute the correspondingbetween two satellite images. To reconstruct the 3Dmodel, the depth map is created by the modifiedfactorization algorithm with singular valuedecomposition (SVD) is used to project the imagepoint. The objective of the system is to reconstruct the3D model of building in urban area with lowresolution satellite images using efficient digitalimage processing method."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "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": "12042.pdf", "filesize": [{"value": "174 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 174000.0, "url": {"url": "https://meral.edu.mm/record/3473/files/12042.pdf"}, "version_id": "fd429a7f-d83d-4064-9ed1-a99ff602bf6b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Theint, Khant Kyawt Kyawt"}, {"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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/122"}, "item_title": "3D building Reconstruction from Google Earth Satellite Images", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003473", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "3473", "relation": {}, "relation_version_is_last": true, "title": ["3D building Reconstruction from Google Earth Satellite Images"], "weko_shared_id": -1}