当サイトでは、より良いサービスを提供するため、クッキーを利用しています。クッキーの使用に同意いただける場合は「同意」ボタンをクリックし、クッキーポリシーについては「詳細を見る」をクリックしてください。詳しくは当サイトの サイトポリシー をご確認ください。

詳細を見る...
ログイン サインアップ
言語:

WEKO3

  • トップ
  • ランキング
To

Field does not validate



インデックスリンク

インデックスツリー

  • RootNode

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "ae9c1ad5-3d74-4ca6-af4f-99fe08201fe6"}, "_deposit": {"id": "2949", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "2949"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00002949", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019-07", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "4836", "bibliographicPageStart": "4833", "bibliographic_titles": [{"bibliographic_title": "International Geoscience and Remote Sensing Symposium (IGARSS)", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "c 2019 IEEE. Due to the huge tsunamis occurred in the 2011 Tohoku-Oki, Japan, earthquake, more than 100 bridges located in the Pacific coast of the Tohoku region were severely damaged. In this study, the extraction of the damaged bridges in Miyagi Prefecture, Japan, was conducted by two methods using two post-event TerraSAR-X (TSX) intensity images, respectively. First, the statistical features within the outlines of the target bridges were calculated. The thresholding method of the backscatter intensity was applied to extract the damaged bridges. Then the TSX image was transformed into a binary image including water and non-water regions. The percentages of no-water regions within the bridge outlines were used to classify the washed-away and survived bridges. By comparing with the optical images and the report of field surveys, the accuracies of the proposed two methods and the influence of the shooting date were investigated.", "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": "10.1109/IGARSS.2019.8898247"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Wen Liu", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Fumio Yamazaki", "creatorNameLang": "en"}]}]}, "item_title": "Bridge Damage Assessment Using Single Post-Event Terrasar-X Image", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Bridge Damage Assessment Using Single Post-Event Terrasar-X Image", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/2949", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "2949", "relation": {}, "relation_version_is_last": true, "title": ["Bridge Damage Assessment Using Single Post-Event Terrasar-X Image"], "weko_shared_id": -1}
  1. 防災科研関係論文

Bridge Damage Assessment Using Single Post-Event Terrasar-X Image

https://nied-repo.bosai.go.jp/records/2949
https://nied-repo.bosai.go.jp/records/2949
0f52e25d-caa3-4690-9413-8ee034e2e068
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Bridge Damage Assessment Using Single Post-Event Terrasar-X Image
著者 Wen Liu

× Wen Liu

en Wen Liu

Search repository
Fumio Yamazaki

× Fumio Yamazaki

en Fumio Yamazaki

Search repository
抄録
内容記述タイプ Other
内容記述 c 2019 IEEE. Due to the huge tsunamis occurred in the 2011 Tohoku-Oki, Japan, earthquake, more than 100 bridges located in the Pacific coast of the Tohoku region were severely damaged. In this study, the extraction of the damaged bridges in Miyagi Prefecture, Japan, was conducted by two methods using two post-event TerraSAR-X (TSX) intensity images, respectively. First, the statistical features within the outlines of the target bridges were calculated. The thresholding method of the backscatter intensity was applied to extract the damaged bridges. Then the TSX image was transformed into a binary image including water and non-water regions. The percentages of no-water regions within the bridge outlines were used to classify the washed-away and survived bridges. By comparing with the optical images and the report of field surveys, the accuracies of the proposed two methods and the influence of the shooting date were investigated.
言語 en
書誌情報 en : International Geoscience and Remote Sensing Symposium (IGARSS)

p. 4833-4836, 発行日 2019-07
DOI
関連識別子 10.1109/IGARSS.2019.8898247
戻る
0
views
See details
Views

Versions

Ver.1 2023-03-30 09:21:51.808990
Show All versions

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3

Change consent settings


Powered by WEKO3

Change consent settings