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Proceedings Paper

An interactive interpretation method based on grab cut segment for geological hazard information extraction from remote sensing image
Author(s): Hui Li; Qizhong Lin; Qingjie Liu
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Paper Abstract

The situation of geological disaster prevention and control in our country is very serious. The application of remote sensing technique in geological disaster monitoring has been more than 30 years, and which has got many successful experiences. Remote sensing technology applications has shown enormous potential in investigation, evaluation, forecast and warning, and relief aspects of geological hazard research, and has been more and more attention to, for remote sensing technology is an high technology means with the ability of big range, all-weather, and dynamic monitoring the spatio-temporal changes of disasters. In the 2008 Wenchuan earthquake disaster, remote sensing technology played a huge role in the emergency response of the earthquake damage. But it has also exposed some problems that urgent needs to solve, the most critical problem of which is lacking of fast and efficient methods for disaster information extraction from remote sensing image data. This problem is also the key technical problems needs to solve and improve in the work of remote sensing application for geological hazard emergency investigation and evaluation. An interactive interpretation method platform based on Grab Cut segmentation was proposed in this paper, and used in interaction extraction of geological hazard information from remote sensing image. Based on ArcGIS Engine second development environment and in the .net framework, the interactive interpretation method utilize Grab Cut segmentation algorithm was developed. Because of Grab Cut image segmentation algorithm exploiting the texture and edge features, using this method can obtain ideal interpretation results and better improve interpreting efficiency, with less interactive steps.

Paper Details

Date Published: 23 November 2011
PDF: 8 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061I (23 November 2011); doi: 10.1117/12.902798
Show Author Affiliations
Hui Li, Ctr. for Earth Observation and Digital Earth (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Qizhong Lin, Ctr. for Earth Observation and Digital Earth (China)
Qingjie Liu, Graduate Univ. of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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