{"_buckets": {"deposit": "794fcd08-7adb-4215-809a-eed693181dba"}, "_deposit": {"id": "1722", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "1722"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00001722"}, "item_5_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2015-02", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "1060", "bibliographicPageStart": "1048", "bibliographicVolumeNumber": "53", "bibliographic_titles": [{"bibliographic_title": "IEEE transactions on geoscience and remote sensing"}, {"bibliographic_title": "IEEE transactions on geoscience and remote sensing", "bibliographic_titleLang": "en"}]}]}, "item_5_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "In this paper, we address the theoretical aspects of coherence region modeling and its inversion methods for polarimetric interferometric SAR (PolInSAR). Instead of only considering  the geometrical shape of the coherence region, we focus on directly modeling the whitened interferometric cross-correlation matrix of the PolInSAR data. In particular, we consider three classes of generic scattering models that respectively contain single, double and triple phase centers within one resolution cell. We then demonstrate, for each class, that the modeled whitened interferometric cross-correlation matrix is normal. Based on this property, we propose, for each case, efficient algorithms to obtain the best normal matrix approximation solution for model inversion from the observed whitened interferometric cross-correlation matrix. In addition, we show how a simple and effective criterion can be designed from the derived solutions for model validation. Finally, we verify the solutions with both simulated and real data. The results prove the proposed method to be a very promising tool for PolInSAR applications.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_7": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_5_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "info:doi/10.1109/TGRS.2014.2332553", "subitem_relation_type_select": "DOI"}}]}, "item_5_rights_15": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a92015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."}]}, "item_5_select_19": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_5_source_id_11": {"attribute_name": "\u66f8\u8a8c\u30ec\u30b3\u30fc\u30c9ID", "attribute_value_mlt": [{"subitem_source_identifier": "AA00231483", "subitem_source_identifier_type": "NCID"}]}, "item_5_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "01962892", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Cui, Yi"}], "nameIdentifiers": [{"nameIdentifier": "5220", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamaguchi, Yoshio"}], "nameIdentifiers": [{"nameIdentifier": "19", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamada, Hiroyoshi"}], "nameIdentifiers": [{"nameIdentifier": "50", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Park, Sang-Eun"}], "nameIdentifiers": [{"nameIdentifier": "5223", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2019-07-29"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "IEEETGRS_53(2)_1048-1060.pdf", "filesize": [{"value": "4.5 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 4500000.0, "url": {"label": "IEEETGRS_53(2)_1048-1060.pdf", "url": "https://niigata-u.repo.nii.ac.jp/record/1722/files/IEEETGRS_53(2)_1048-1060.pdf"}, "version_id": "f19e52c6-7646-4594-9ad3-10f242242cb6"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Polarimetric interferometric SAR (PolInSAR)", "subitem_subject_scheme": "Other"}, {"subitem_subject": "coherence region modeling", "subitem_subject_scheme": "Other"}, {"subitem_subject": "model inversion", "subitem_subject_scheme": "Other"}, {"subitem_subject": "whitened interferometric cross-correlation matrix", "subitem_subject_scheme": "Other"}, {"subitem_subject": "best normal matrix approximation", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution"}]}, "item_type_id": "5", "owner": "1", "path": ["453/454", "423/424/425"], "permalink_uri": "http://hdl.handle.net/10191/31326", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2015-01-08"}, "publish_date": "2015-01-08", "publish_status": "0", "recid": "1722", "relation": {}, "relation_version_is_last": true, "title": ["PolInSAR Coherence Region Modeling and Inversion : The Best Normal Matrix Approximation Solution"], "weko_shared_id": 2}