Research on Landslides Extraction Based on the Wenchuan Earthquake in GF-1 Remote Sensing Image

doi:10.13474/j.cnki.11-2246.2018.0046

Abstract

Abstract:

Earthquake induced landslide is the most common and destructive type of earthquake, so it is of great significance to quickly and accurately obtain the distribution of landslides after the earthquake. The traditional method of artificial interpretation of remote sensing is of low efficiency. In this paper, we select the GF-1 image of the Wenchuan earthquake zone and extract the landslide information by using the object-oriented method. Multi-scale segmentation is used to set the different segmentation parameters. The suitable parameters are selected according to the features of spectrum, texture and geometry, and the classification rules are constructed to extract the landslide area. Through the comparison of landslide with landslide points by actual investigating, the accuracy of object-oriented classification method for 84%. The result shows that GF-1 data can be used to extract information of landslide hazard and meet the basic requirements of landslide hazard identification.

Key words: GF-1, object-oriented, multi-scale segmentation, landslide extraction

CLC Number:

P237

HUANG Ting, BAI Xianfu, ZHUANG Qifeng, XU Jinghai. Research on Landslides Extraction Based on the Wenchuan Earthquake in GF-1 Remote Sensing Image[J]. 测绘通报, 2018, 0(2): 67-71,82.

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