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2018 Vol. 24, No. 2
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Di ZHOU, Zhongyun NI, Zhenyu YANG. OBJECT-ORIENTED REMOTE SENSING INFORMATION EXTRACTION METHOD FOR ROCKY DESERTIFICATION IN KARST AREA-A CASE STUDY OF DAFANG COUNTY, GUIZHOU[J]. Journal of Geomechanics, 2018, 24(2): 263-273. doi: 10.12090/j.issn.1006-6616.2018.24.02.028
Citation: Di ZHOU, Zhongyun NI, Zhenyu YANG. OBJECT-ORIENTED REMOTE SENSING INFORMATION EXTRACTION METHOD FOR ROCKY DESERTIFICATION IN KARST AREA-A CASE STUDY OF DAFANG COUNTY, GUIZHOU[J]. Journal of Geomechanics, 2018, 24(2): 263-273. doi: 10.12090/j.issn.1006-6616.2018.24.02.028
shu

OBJECT-ORIENTED REMOTE SENSING INFORMATION EXTRACTION METHOD FOR ROCKY DESERTIFICATION IN KARST AREA-A CASE STUDY OF DAFANG COUNTY, GUIZHOU

  • 1.

    College of Geospatial information Science and Technology, Capital Normal University, Beijing 100048, China

  • 2.

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

  • 3.

    College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, Sichuan, China

  • 4.

    State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, Sichuan, China

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Received Date:  29 September 2017
Revised Date:  16 February 2018
    Abstract
  • The existing pixel-based supervised and unsupervised classification methods can't meet the requirements of rocky desertification information extraction accuracy in karst rocky desertification area under the circumstances of complicated geological environment, large topographic relief and obvious shadows. In order to improve the accuracy of remote sensing image information extraction, texture feature data and topographic data are used to assist the object oriented method in the rocky desertification information extraction in karst rocky desertification area. Firstly, based on the characteristics of rocky desertification with uneven image sizes in TM/ETM+, the optimal segmentation parameters are calculated using texture and terrain factors to conduct multi-scale segmentation. Secondly, the grading indexes of rocky desertification are established based on vegetation coverage rates, rock exposure rates and slope factors. Finally, according to the grading rules of rocky desertification, spectral information and texture features, the information of rocky desertification in Karst area is extracted. The temporal TM/ETM+images of rocky desertification areas in DaFang, Guizhou, are selected for rocky desertification information extraction. The results show that comparing with pixel-based supervised classification and unsupervised classification methods, the object-oriented classification technology can effectively reduce the "salt and pepper phenomenon" caused by complicated topography, and the extraction accuracy is much better.
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