Research on edge detection algorithm of RS image

Lixia Xue; Zuocheng Wang

doi:10.1117/12.813234

7 November 2008 Research on edge detection algorithm of RS image

Lixia Xue, Zuocheng Wang

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71470X (2008) https://doi.org/10.1117/12.813234
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Lixia Xue and Zuocheng Wang "Research on edge detection algorithm of RS image", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470X (7 November 2008); https://doi.org/10.1117/12.813234

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