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Proceedings Paper

Land use classification and evaluation of RS image based on cloud model
Author(s): Xiangyun Tang; Keyun Chen; Yangfang Liu
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Paper Abstract

The traditional land use classification technology of remote sensing(RS) image is in a low level of automation and intelligence,land use classification of RS image is an uncertain problem which contains random and fuzziness,the cloud model integrates fuzziness and random together,constituting mapping between qualitative and quota. According to the above,this article introduces the cloud theory into land use classification of RS image,establishing a cloud mapping space based on gradation,aiming to solve the problem of land use classification of RS image. At the same time,this paper has constituted the result evaluating indicator system in aspect of the homogeneity indexes of the region and the boundary location,and has carried on the empirical analysis of the SPOT image of Nanhu area of Wuhan,elaborated the model construction process in depth,explored the serviceability of this method in this domain by the evaluation and the contrast of the classification results.

Paper Details

Date Published: 14 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74920N (14 October 2009); doi: 10.1117/12.838051
Show Author Affiliations
Xiangyun Tang, Wuhan Univ. (China)
Keyun Chen, Guangzhou Urban Planning and Design Survey Research Institute (China)
Yangfang Liu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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