{"created":"2023-06-19T07:57:01.261805+00:00","id":624,"links":{},"metadata":{"_buckets":{"deposit":"2a400521-6d18-478e-9031-c95373339d12"},"_deposit":{"created_by":14,"id":"624","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"624"},"status":"published"},"_oai":{"id":"oai:kitakyu.repo.nii.ac.jp:00000624","sets":["11:10"]},"author_link":["734"],"control_number":"624","item_10006_alternative_title_1":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究","subitem_alternative_title_language":"ja"}]},"item_10006_date_granted_11":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2018-03-24"}]},"item_10006_degree_grantor_9":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"北九州市立大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"27101","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_10006_degree_name_8":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士(工学)"}]},"item_10006_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study aims to generalize color line to M-dimensional spectral line feature (M>3) and introduce methods for denoising and unmixing of hyperspectral images based on the spectral linearity.\nFor denoising, we propose a local spectral component decomposition method based on the spectral line. We first calculate the spectral line of an M-channel image, then using the line, we decompose the image into three components: a single M-channel image and two gray-scale images. By virtue of the decomposition, the noise is concentrated on the two images, thus the algorithm needs to denoise only two grayscale images, regardless of the number of channels. For unmixing, we propose an algorithm that exploits the low-rank local abundance by applying the unclear norm to the abundance matrix for local regions of spatial and abundance domains. In optimization problem, the local abundance regularizer is collaborated with the L2, 1 norm and the total variation.","subitem_description_type":"Abstract"}]},"item_10006_dissertation_number_12":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲第117号"}]},"item_10006_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"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":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"ミヤ　リズキニヤ","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"734","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-05-21"}],"displaytype":"detail","filename":"(KKDE1117RM)甲第117号_ﾐﾔ ﾘｽﾞｷﾆﾔ.pdf","filesize":[{"value":"13.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"(KKDE1117RM)甲第117号_ﾐﾔ ﾘｽﾞｷﾆﾔ","objectType":"fulltext","url":"https://kitakyu.repo.nii.ac.jp/record/624/files/(KKDE1117RM)甲第117号_ﾐﾔ ﾘｽﾞｷﾆﾔ.pdf"},"version_id":"5056ecd8-19d3-478f-8b6d-5e1f23396ca9"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"color line","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"spectral linearity","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"hyperspectral image","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"nuclear norm","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"denoising","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"unmixing","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"local spectral component decomposition","subitem_subject_language":"en","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":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity","subitem_title_language":"en"}]},"item_type_id":"10006","owner":"14","path":["10"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-05-21"},"publish_date":"2018-05-21","publish_status":"0","recid":"624","relation_version_is_last":true,"title":["Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-04-10T09:14:48.185341+00:00"}