A Slope Failure Detector Using Multi-sensors Data

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  • KAWAMURA Makoto
    Department of Architecture and Civil Engineering, Toyohashi University of Technology
  • TSUJINO Kazuhiko
    Department of Civil Engineering, Fukui National College of Technology
  • TSUJIKO Yuji
    Department of Civil Engineering, Fukui National College of Technology

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Other Title
  • 複数のセンサーによる衛星データを用いた斜面崩壊検出手法
  • フクスウ ノ センサー ニ ヨル エイセイ データ オ モチイタ シャメン ホウカイ ケンシュツ シュホウ

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This paper describes a slope failure detector based on mathematical morphological operations. Multisensor data, LANDSAT TM, ADEOS AVNIR, SPOT HRV XS and HRV-Panchromatic, are chosen as the original images. The proposed detector consists of morphological fundamental operation such as dilation and erosion. The formula was applied to the detection of earthquake-induced slope failures in Rokko Mountain side triggered by the Hyogoken-Nambu earthquake. The results lead two major conclusions as follows;<BR>(1) The accuracy of proposed slope failure detector depends on the resolution and high-resolution data made by wavelet transform is effective for the input data. Best result of proposed method showed almost perfect for failures of over 1000m2.<BR>(2) The accuracy of detection depends on the band (wavelength) of the input data rather than the resolution.

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