{"created":"2023-07-25T10:22:30.085171+00:00","id":1893,"links":{},"metadata":{"_buckets":{"deposit":"e9217d18-359f-4824-af72-dd2f81cca74e"},"_deposit":{"created_by":15,"id":"1893","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"1893"},"status":"published"},"_oai":{"id":"oai:air.repo.nii.ac.jp:00001893","sets":["590:629:630"]},"author_link":["7025","7026","7027","7028","7029","7030"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"348","bibliographicPageStart":"339","bibliographicVolumeNumber":"63","bibliographic_titles":[{"bibliographic_title":"映像情報メディア学会誌 : 映像情報メディア","bibliographic_titleLang":"ja"}]}]},"item_10001_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"National Oceanic and Atmospheric Administration (NOAA) and Advanced Very High Resolution Radiometer (AVHRR) data are available on a daily basis and have been frequently used for global observation. The ground image can be resolved 1.1km immediately below the satellite on a horizontal scale. Both pure and mixed pixels (mixels) can be used to accurately classify land-, sea-, and cloud- cover conditions. We propose the use of a classification algorithm for the NOAA-AVHRR data. The algorithm has four steps. First, multispectral bands are used to estimate elements of three classes (sea, land, and cloud) as supervised data for pre-classification. Second, pure pixels of the three classes are extracted on the basis of the multispectral bands and the Normalized Difference Vegetation Index (NDVI) of the same pixel. Third, we determine pure pixels and mixels by using fuzzy reasoning for the remaining pixels mentioned above, with the exception of the \"land and sea\" class. Finally, the edge information facilitates the retrieval of the \"land and sea\" mixel. Our experimental results suggest that the proposed approach provides results suitable for classifying various conditions.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"一般社団法人映像情報メディア学会","subitem_publisher_language":"ja"}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"コンテンツの利用については、著作権法に規定されている私的使用や引用などの範囲内で行ってください。","subitem_rights_language":"ja"}]},"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_1723786738760":{"attribute_name":"権利者情報","attribute_value_mlt":[{"rightHolderNames":[{"rightHolderName":"一般社団法人映像情報メディア学会"}]}]},"item_1724099666130":{"attribute_name":"収録物識別子","attribute_value_mlt":[{"subitem_source_identifier":"13426907","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AN10588970","subitem_source_identifier_type":"NCID"}]},"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":"景山, 陽一","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"7025","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"佐藤, 郁磨","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"7026","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"西田, 眞","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"7027","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kageyama, Yoichi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7028","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Sato, Ikuma","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7029","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nishida, Makoto","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7030","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":"2017-02-16"}],"displaytype":"detail","filename":"kageyama1.pdf","filesize":[{"value":"3.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"kageyama1.pdf","url":"https://air.repo.nii.ac.jp/record/1893/files/kageyama1.pdf"},"version_id":"8e5def91-645d-43d2-bf68-eae8cbcda9b9"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"リモートセンシング","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"マルチスペクトルデータ","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ミクセル","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"クラス","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ファジイ理論","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"ミクセルを考慮したNOAA-AVHRRデータのクラス分類アルゴリズム","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ミクセルを考慮したNOAA-AVHRRデータのクラス分類アルゴリズム","subitem_title_language":"ja"},{"subitem_title":"Use of Mixels in Classification Algorithm for NOAA-AVHRR Data","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"15","path":["630"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2013-01-22"},"publish_date":"2013-01-22","publish_status":"0","recid":"1893","relation_version_is_last":true,"title":["ミクセルを考慮したNOAA-AVHRRデータのクラス分類アルゴリズム"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2024-08-25T08:48:41.749082+00:00"}