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Remote Sensing Technology and Application  2018, Vol. 33 Issue (1): 177-184    DOI: 10.11873/j.issn.1004-0323.2018.1.0177
Research of Glacial Lake Contour Extraction Method  based on Improved C-V Model#br#
Zhao Hang1,2,Chen Fang1,2,3,Zhang Meimei1
(1.Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China;
3.Hainan Key Laboratory of Earth Observation,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Sanya 572029,China)
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Abstract  Glacial lake is one of the most important sensitive factors that reflect the global climate change.The accurate extraction of glacial lake information can be used to analyze the status of glacial lake in different period,and to provide the possibility for the analysis of climate change.Focus on the complex spectra characteristics of glacial lake,and considering that the C-V model has a complete theoretical basis,but the huge amount of calculation,so this paper combines the C-V model with the symbolic pressure function and the “global to local” Iterative water extraction algorithm to study the a new method of glacial lake extraction in High Asia.This paper chooses the three typical development region of glacial lake,Himalaya mountains,Southeastern Tibet,Altai mountains.Glacial lake were extracted by using Landsat 8 OLI image,and then this paper do the research of the accuracy assessment of the glacial lake extraction results.The C-V model has better anti noise performance and weak edge segmentation effect,so the experiment obtained good results.The result shows that overall accuracy of glacial lake extraction is 89.86%,and the method can extract the glacial lake’s information rapidly and accurately.
Key words:  C-V model      The contour of glacial lake      NDWI      Landsat 8     
Received:  18 February 2017      Published:  16 March 2018
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Zhao Hang
Chen Fang
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Zhao Hang,Chen Fang,Zhang Meimei. Research of Glacial Lake Contour Extraction Method  based on Improved C-V Model#br#. Remote Sensing Technology and Application, 2018, 33(1): 177-184.

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