{"_buckets": {"deposit": "3205c665-42ce-40f2-a054-2524ff825a9d"}, "_deposit": {"id": "32167", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "32167"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00032167", "sets": ["454", "425"]}, "item_5_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "3", "bibliographicPageEnd": "80", "bibliographicPageStart": "73", "bibliographicVolumeNumber": "8", "bibliographic_titles": [{"bibliographic_title": "IEICE Communications Express"}, {"bibliographic_title": "IEICE Communications Express", "bibliographic_titleLang": "en"}]}]}, "item_5_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Polarimetric similarity is a parameter for measuring the similarity between two scattering mechanisms. In this paper, we propose a novel model-based target classification technique using a compensated polarimetric similarity parameter between two coherency matrices. In general, the ensemble average coherency matrix elements have magnitude imbalance, thus the contribution degree to the polarimetric similarity differs for each element. We illustrate how to compensate the contribution degree, and then the proposed method is tested on L-band fully polarimetric ALOS-2/PALSAR-2 data sets by using 4 theoretical scattering models (surface scattering, double-bounce scattering, volume scattering, and 22.5ﾟ oriented dihedral scattering). The classification results show that the new compensation scheme serves to better classification.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_7": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "The Institute of Electronics, Information and Communication Engineers"}]}, "item_5_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "info:doi/10.1587/comex.2018XBL0152", "subitem_relation_type_select": "DOI"}}]}, "item_5_relation_31": {"attribute_name": "異版である", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://www.jstage.jst.go.jp/", "subitem_relation_type_select": "URI"}}, {"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://www.ieice.org/jpn/trans_online/", "subitem_relation_type_select": "URI"}}]}, "item_5_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright(C)2019 IEICE"}, {"subitem_rights": "本文データは学協会の許諾に基づきJ-Stageから複製したものである"}]}, "item_5_select_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_5_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "21870136", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Umemura, Maito"}], "nameIdentifiers": [{"nameIdentifier": "175338", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamaguchi, Yoshio"}], "nameIdentifiers": [{"nameIdentifier": "19", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamada, Hiroyoshi"}], "nameIdentifiers": [{"nameIdentifier": "50", "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": "2019-09-10"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "8(3)_73-80.pdf", "filesize": [{"value": "4.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 4099999.9999999995, "url": {"label": "8(3)_73-80.pdf", "url": "https://niigata-u.repo.nii.ac.jp/record/32167/files/8(3)_73-80.pdf"}, "version_id": "bae4ba6d-2217-420c-81e8-33733ba2c8e5"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "polarimetric synthetic aperture radar", "subitem_subject_scheme": "Other"}, {"subitem_subject": "polarimetric similarity", "subitem_subject_scheme": "Other"}, {"subitem_subject": "coherency matrix", "subitem_subject_scheme": "Other"}, {"subitem_subject": "PolSAR terrain classification", "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": "Model-based target classification using polarimetric similarity with coherency matrix elements", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Model-based target classification using polarimetric similarity with coherency matrix elements"}]}, "item_type_id": "5", "owner": "1", "path": ["454", "425"], "permalink_uri": "http://hdl.handle.net/10191/51113", "pubdate": {"attribute_name": "公開日", "attribute_value": "2019-06-06"}, "publish_date": "2019-06-06", "publish_status": "0", "recid": "32167", "relation": {}, "relation_version_is_last": true, "title": ["Model-based target classification using polarimetric similarity with coherency matrix elements"], "weko_shared_id": 2}