{"_buckets": {"deposit": "d180c2ae-14f0-4df0-959e-c4383fd9b253"}, "_deposit": {"id": "4736", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "4736"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00004736", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "2778", "bibliographicPageStart": "2772", "bibliographic_titles": [{"bibliographic_title": "2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS)", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Synthetic Aperture Radar (SAR) sensors onboard space-borne and airborne platforms are useful to survey the land-cover and condition of the earth surface. The Japan Aerospace Exploration Agency (JAXA) has been operating L-band radar systems both on satellites and air-crafts. The Polarimetric and Interferometric Airborne Synthetic Aperture Radar (Pi-SAR) L2 started its operation in 2012, as a successor of Pi-SAR-L (1996-2011). Pi-SAR-L2 carries an L-band radar of 85.0MHz band-width and can acquire images of very high slant-range resolution 1.76m with full (HH, HV, VV, VH) polarizations. In this study, a basic study on backscattering characteristics of a suburban area was carried out using full polarization data acquired by Pi-SAR-L2 flying over Miyagi prefecture, Japan. The texture measures of the SAR data were obtained by the Gray Level Co-occurrence Matrix (GLCM), which is one of the most well-known texture measures in the recent years. The selected major land-cover classes were trees, grasses, roads, water, paddy fields, buildings and solar panels. The result of supervised classification shows that the combined use of the backscattering intensity and their texture measures could obtain higher accuracy than using only the backscattering intensity.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1109/PIERS.2017.8262225"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1931-7360", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Fumio Yamazaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Natsuki Samuta", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Wen Liu", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "Land-cover Classification of Suburban Areas Based on Multi-polarized Airborne SAR Data Using Texture Measures", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Land-cover Classification of Suburban Areas Based on Multi-polarized Airborne SAR Data Using Texture Measures", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/4736", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "4736", "relation": {}, "relation_version_is_last": true, "title": ["Land-cover Classification of Suburban Areas Based on Multi-polarized Airborne SAR Data Using Texture Measures"], "weko_shared_id": -1}