{"created":"2021-03-01T07:14:47.601617+00:00","id":35821,"links":{},"metadata":{"_buckets":{"deposit":"2c4262da-31a8-4b58-bb90-d31607ae005a"},"_deposit":{"id":"35821","owners":[],"pid":{"revision_id":0,"type":"depid","value":"35821"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:00035821","sets":["160:838","3:62:5589:4747"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicPageEnd":"1129","bibliographicPageStart":"1113","bibliographicVolumeNumber":"30","bibliographic_titles":[{"bibliographic_title":"Geocarto International"}]}]},"item_5_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村山, 祐司"}],"nameIdentifiers":[{},{},{}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"With the increasing availability of high-spatial-resolution remote sensing imageries and with the observed limitations of pixel-based techniques, the development and testing of geographic object-based image analysis (GEOBIA) techniques for image classification have become one of the main research areas in geospatial science. This paper examines and compares the classification performance of a pixel-based method and an object-based method as applied to high- (QuickBird satellite image) and medium- (Landsat TM image) spatial-resolution imageries in the context of urban and suburban landscapes. For the pixel-based classification, the maximum-likelihood supervised classification approach was employed. And for the object-based classification, the pixel-based classified maps were integrated with a set of image segments produced using various calibrations. The results show evidence that the object-based method can produce classifications that are more accurate for both high- and medium-spatial- resolution imageries in the context of urban and suburban landscapes.","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Taylor & Francis"}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1080/10106049.2015.1027291","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"This is an Accepted Manuscript of an article published by Taylor & Francis in Geocarto International on Apr 2015 available online: http://www.tandfonline.com/ 10.1080/10106049.2015.1027291"}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1010-6049","subitem_source_identifier_type":"ISSN"}]},"item_5_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10729367","subitem_source_identifier_type":"NCID"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Estoque, Ronald C."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Murayama, Yuji"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mizutani Akiyama, Chiaki"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-12-01"}],"displaytype":"detail","filename":"GI_30-10.pdf","filesize":[{"value":"2.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"GI_30-10","url":"https://tsukuba.repo.nii.ac.jp/record/35821/files/GI_30-10.pdf"},"version_id":"a3606590-bd99-4d34-8e18-c79475396112"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Pixel-based and object-based classifications using high- and medium-spatial-resolution imageries in the urban and suburban landscapes","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Pixel-based and object-based classifications using high- and medium-spatial-resolution imageries in the urban and suburban landscapes"}]},"item_type_id":"5","owner":"1","path":["838","4747"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-10-26"},"publish_date":"2015-10-26","publish_status":"0","recid":"35821","relation_version_is_last":true,"title":["Pixel-based and object-based classifications using high- and medium-spatial-resolution imageries in the urban and suburban landscapes"],"weko_creator_id":"1","weko_shared_id":5},"updated":"2022-04-27T09:04:49.156487+00:00"}