光学センサ画像における日影長さとSAR強度画像における倒れ込み量に基づく建物高さと地震による倒壊の検出

書誌事項

タイトル別名
  • DETECTION OF BUILDING HEIGHT AND COLLAPSE MODE FROM THE MEASUREMENT OF SHADOW LENGTH IN OPTICAL IMAGES AND LAYOVER IN SAR INTENSITY IMAGES

抄録

Visual interpretation of optical satellite images is widely used to detect building damages after recent earthquakes in the world. However, since optical satellites images are acquired from the vertical direction, they can observe only roofs of buildings. Building damages such as mid-story collapse are often overlooked because the upper surfaces of buildings do not change so much. This paper proposes the method to detect this kind of building collapses from the change in building heights, estimated from the shadow lengths in optical images measured before and after an earthquake. Boumerdes city, Algeria, is selected as a case study site where many buildings were collapsed in the 2003 Boumerdes Earthquake. Two QuickBird images, taken before and two days after the earthquake, were employed. Based on the measurement of shadow lengths, some mid-story collapses were successfully detected. The measurement of building heights was also carried out using layover effects in SAR intensity images. The tests for TerraSAR-X images in Tokyo Metropolitan area showed good level of accuracy in building height measurement. These methods may provide useful information in detecting building damages, as well as from texture information.

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詳細情報 詳細情報について

  • CRID
    1390282680334868864
  • NII論文ID
    130002567410
  • DOI
    10.5610/jaee.12.6_133
  • ISSN
    18846246
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • 抄録ライセンスフラグ
    使用不可

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