{"created":"2023-03-31T02:01:43.203429+00:00","id":4726,"links":{},"metadata":{"_buckets":{"deposit":"8d34d497-4e39-4b66-a29d-a13a6d33d002"},"_deposit":{"id":"4726","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"4726"},"status":"published"},"_oai":{"id":"oai:nied-repo.bosai.go.jp:00004726","sets":[]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"82","bibliographicPageStart":"75","bibliographicVolumeNumber":"4","bibliographic_titles":[{"bibliographic_title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A new method has been developed to automatically extract moving vehicles and subsequently determine their speeds from a pair of QuickBird (QB) panchromatic (PAN) and multispectral (MS) images. Since the PAN and MS sensors of QB have a slight time lag (approximately 0.2 s), the speed of a moving vehicle can be determined from the difference in the positions of the vehicle observed in the PAN and MS images due to the time lag. An object-based approach can be used to extract a vehicle from the PAN image, which has a resolution of 0.6 m. However, it is difficult to accurately extract the position of a vehicle from an MS image because its resolution is 2.4 m. Thus, an area correlation method is proposed to determine the location of a vehicle from an MS image at a sub-pixel level. The speed of the moving vehicle can then be calculated by using the vehicle extraction results. This approach was tested on several parts of a QB image covering central Tokyo, Japan, and the accuracy of the results is demonstrated in this study. c 2011, IEEE. All rights reserved.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/JSTARS.2010.2069555"}}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2151-1535","subitem_source_identifier_type":"EISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wen Liu","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Fumio Yamazaki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tuong Thuy Vu","creatorNameLang":"en"}]}]},"item_title":"Automated Vehicle Extraction and Speed Determination From QuickBird Satellite Images","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Automated Vehicle Extraction and Speed Determination From QuickBird Satellite Images","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"1","path":["1670839190650"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"4726","relation_version_is_last":true,"title":["Automated Vehicle Extraction and Speed Determination From QuickBird Satellite Images"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-08T06:08:45.701303+00:00"}