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Proceedings Paper

Research on edge detection algorithm of RS image
Author(s): Lixia Xue; Zuocheng Wang
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Paper Abstract

A fuzzy edge detection algorithm based on object-cloud and maximum fuzzy entropy principle are proposed in this paper. According to the uncertainty of the objects in the RS image, the spatial objects in RS image space can be mapped to the cloud space by 1:M cloud model. Object-cloud will have the digital characteristics to describe the fuzziness and randomicity of objects in RS image. According to the cloud operation, boundary-cloud and its digital characteristics can be achieved and the membership matrix of transition region can be constructed. By maximum fuzzy entropy principle, edge detection can be accomplished in the membership matrix of transition region.

Paper Details

Date Published: 7 November 2008
PDF: 11 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470X (7 November 2008); doi: 10.1117/12.813234
Show Author Affiliations
Lixia Xue, Chongqing Univ. of Posts and Telecommunications (China)
Zuocheng Wang, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images

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