Landslides detection using aerial ortho-images and LiDAR data

Jiann Yeou Rau, Yi Chen Shao, Liang Chien Chen, Chi Chung Lau, Kuo Hsin Hsiao

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Traditionally the landslide areas were manually measured from aerial stereo-pair by visual interpretation or on-site surveying. Since those two approaches are tedious and cost, researches focus on automatic method for efficient and effective detection for landslides area. For the purpose of automatic landslide detection, its surface and spectral characteristics should be analyzed at first. In the paper, base on a pre-compiled landslide map, we utilize the airborne LiDAR and color aerial ortho-images to analyze the terrain slope, canopy texture, spectral greenness for the landslides. Experimental results indicate that the greenness is an important index to discriminate the bare soil from vegetation, it is better to use a radiometric calibrated near-infrared image for detecting non-vegetation area automatically. In this preliminary study, the proposed logical intersection method can get a correct detection rate up to 86%, but a large commission error will be introduced. A further modification of the thresholds considering the landslides that are covered by trees, a more reasonable result could be achieved.

原文English
主出版物標題Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006
頁面662-667
頁數6
出版狀態Published - 2006 十二月 1
事件27th Asian Conference on Remote Sensing, ACRS 2006 - Ulaanbaatar, Mongolia
持續時間: 2006 十月 92006 十月 13

出版系列

名字Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006

Other

Other27th Asian Conference on Remote Sensing, ACRS 2006
國家/地區Mongolia
城市Ulaanbaatar
期間06-10-0906-10-13

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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