{"_buckets": {"deposit": "95e47a67-af46-4f73-b9a7-9895f497270f"}, "_deposit": {"id": "5813", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5813"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005813", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2014", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{"bibliographic_title": "NCEE 2014 - 10th U.S. National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Building damage such as to side-walls or mid-story collapse is often overlooked in vertical optical images. Hence, in order to observe such building damage modes, high-resolution SAR images are introduced considering the side-looking nature of SAR. In the 2011 Tohoku, Japan, earthquake, a large number of buildings were collapsed or severely damaged due to repeated tsunamis. One of the important tsunami effects on buildings is that the damage is concentrated to their side-walls and lower stories. Thus, this paper proposes the method to detect this kind of damage from the change in layover areas in SAR intensity images. The pre- and post-event TerraSAR-X images covering the Sendai-Shiogama Port were employed to detect building damage due to the tsunamis caused by the earthquake. Firstly, shape data of the layover areas for individual buildings were made according to the 2D Zenrin GIS data because the lengths of layover are proportional to the building height. The characteristics of the difference of backscattering coefficients between the pre- and post-event images were investigated using several sample buildings. Then the average value and the gradient in the cumulative curve of the difference were used to classify the possibility of side-wall damage and the damage level of buildings. These examples demonstrated the usefulness of high-resolution SAR images to detect severe damage to building side-walls from the changes of the backscattering coefficient in layover areas. Finally, the method was applied to the whole target area, and the accuracy was verified by comparing with a building damage map made by field surveys.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.4231/D3RN30807"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "W. Liu", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "M. Matsuoka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "F. Yamazaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "T. Nonaka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "T. Sasagawa", "creatorNameLang": "en"}]}]}, "item_title": "Detection of building side-wall damage caused by the 2011 Tohoku, Japan earthquake tsunamis using high-resolution sar imagery", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Detection of building side-wall damage caused by the 2011 Tohoku, Japan earthquake tsunamis using high-resolution sar imagery", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5813", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5813", "relation": {}, "relation_version_is_last": true, "title": ["Detection of building side-wall damage caused by the 2011 Tohoku, Japan earthquake tsunamis using high-resolution sar imagery"], "weko_shared_id": -1}
Detection of building side-wall damage caused by the 2011 Tohoku, Japan earthquake tsunamis using high-resolution sar imagery
https://nied-repo.bosai.go.jp/records/5813
https://nied-repo.bosai.go.jp/records/5813