{"created":"2023-07-25T10:25:32.742595+00:00","id":5933,"links":{},"metadata":{"_buckets":{"deposit":"8b801664-97c6-415a-a411-fd6ed652a01e"},"_deposit":{"created_by":15,"id":"5933","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"5933"},"status":"published"},"_oai":{"id":"oai:air.repo.nii.ac.jp:00005933","sets":["1194:1462:1463"]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"APPLIED SCIENCES-BASEL","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"In this paper, the local correspondence between synthetic aperture radar (SAR) images and optical images is proposed using an image feature-based keypoint-matching algorithm. To achieve accurate matching, common image features were obtained at the corresponding locations. Since the appearance of SAR and optical images is different, it was difficult to find similar features to account for geometric corrections. In this work, an image translator, which was built with a DNN (deep neural network) and trained by conditional generative adversarial networks (cGANs) with edge enhancement, was employed to find the corresponding locations between SAR and optical images. When using conventional cGANs, many blurs appear in the translated images and they degrade keypoint-matching accuracy. Therefore, a novel method applying an edge enhancement filter in the cGANs structure was proposed to find the corresponding points between SAR and optical images to accurately register images from different sensors. The results suggested that the proposed method could accurately estimate the corresponding points between SAR and optical images.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_10001_relation_25":{"attribute_name":"関連情報","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/app12094159","subitem_relation_type_select":"DOI"}}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access\narticle distributed under the terms and conditions of the Creative Commons Attribution\n(CC BY) license (http://creativecommons.org/licenses/by/4.0/)."}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1724099666130":{"attribute_name":"収録物識別子","attribute_value_mlt":[{"subitem_source_identifier":"2076-3417","subitem_source_identifier_type":"ISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"作成者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Toriya, Hisatoshi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Dewan, Ashraf","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ikeda, Hajime","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Owada, Narihiro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Saadat, Mahdi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Inagaki, Fumiaki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kawamura, Youhei","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kitahara, Itaru","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-02-23"}],"displaytype":"detail","filename":"kokuA_2022_20.pdf","filesize":[{"value":"9.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kokuA_2022_20.pdf","url":"https://air.repo.nii.ac.jp/record/5933/files/kokuA_2022_20.pdf"},"version_id":"4a319c04-5b8d-41b1-aaf4-4e507f3ad690"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"image registration","subitem_subject_scheme":"Other"},{"subitem_subject":" keypoint matching","subitem_subject_scheme":"Other"},{"subitem_subject":" synthetic aperture radar","subitem_subject_scheme":"Other"},{"subitem_subject":" deep neural network","subitem_subject_scheme":"Other"},{"subitem_subject":" generative adversarial networks","subitem_subject_scheme":"Other"}]},"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":"Use of a DNN-Based Image Translator with Edge Enhancement Technique to Estimate Correspondence between SAR and Optical Images","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Use of a DNN-Based Image Translator with Edge Enhancement Technique to Estimate Correspondence between SAR and Optical Images","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"15","path":["1463"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-02-23"},"publish_date":"2023-02-23","publish_status":"0","recid":"5933","relation_version_is_last":true,"title":["Use of a DNN-Based Image Translator with Edge Enhancement Technique to Estimate Correspondence between SAR and Optical Images"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2024-08-22T23:14:31.296298+00:00"}