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Proceedings Paper

Information extraction of typical karst landform based on RS
Author(s): Shufen Huang; Anjun Lan; Jiaqiong Ma; Haixiang Guo
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Paper Abstract

Guizhou Province is the most typical karst landform area of Southwest China Karst, and how to exactly extract the typical karst landform information is important to the economic development of Guizhou. Not any method based on Remote Sensing (Hereinafter referred to as RS) to extract the karst landform were reported or published. For obtaining the accuracy information of karst landform, 10 meters resolution ALOS image is used to extract the karst landform information in Guanling County of Guizhou Province in this paper. The multiscale segmentations of RS images were finished and typical of karst landform in case study area were classified with the different segmentation rules created on the eCognition Developer platform. For mostly improving the accuracy of extraction information, the experiment areas are focused on the fengcong depressions, fengcong valleys, and fenglin basins. The results show that the fengcong depressions, fengcong valleys, and fenglin basins can be respectively well extracted from the images when the segmentation scale are respectively 280, 480 and 200, shape parameter is 0.8, and tightness parameter is 0.5. We believed the research would provide an important reference to extract the karst landform information in whole Guizhou, China or global level.

Paper Details

Date Published: 14 May 2014
PDF: 8 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580V (14 May 2014); doi: 10.1117/12.2063696
Show Author Affiliations
Shufen Huang, Guizhou Normal Univ. (China)
Anjun Lan, Guizhou Normal Univ. (China)
Jiaqiong Ma, Guizhou Normal Univ. (China)
Haixiang Guo, Guizhou Normal Univ. (China)


Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)

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