Image and Signal Processing Methods

Large-scale landslide detection for practical use based on image saliency

[+] Author Affiliations
Bo Yu

Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China

Fang Chen

Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China

Institute of Remote Sensing and Digital Earth, Hainan Key Laboratory of Earth Observation, Chinese Academy of Sciences, No. 6 Heitu Village, Tianya Town, Sanya 572029, China

J. Appl. Remote Sens. 10(4), 045013 (Nov 05, 2016). doi:10.1117/1.JRS.10.045013
History: Received June 21, 2016; Accepted October 17, 2016
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Abstract.  This paper presents a practical method for landslide detection, using single-temporal Landsat8 image at a spatial resolution of 30 m, which is publicly available. The method introduces the concept “saliency” to express potential landslide regions in the image. Based on the saliency calculations, landslides are further extracted by object-based contours using morphological operations. The experimental area covers 2deg×2deg, which is more practical for most cases, and the performance validates the efficiency and robustness of this method in practical applications. The overall accuracy in terms of landslide/background classification reaches 99.87%, indicating the proposed method is viable. Even though the commission error and omission error of the detected landslides are both above 50%, the proposed method is able to remove 99.9% background, thus reducing manual interpretation to a large extent. Moreover, since it does not need training data or many experienced parameters, it is much easier to be applied to other cases. This paper moves forward a step in landslide detection toward practical applications, such as emergency response.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Landslides

Citation

Bo Yu and Fang Chen
"Large-scale landslide detection for practical use based on image saliency", J. Appl. Remote Sens. 10(4), 045013 (Nov 05, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.045013


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