Abstract
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 imag e, the spatial objects in RS image space can be mapped to the cloud space by 1:M cloud model. Ob ject-cloud will have the digital characteristics to describe the fuzziness and randomicity of objects in RS image. A ccording 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. Keywords: Edge detection; Object-cloud; RS image; Mapping; Entropy 1. INTRODUCTION The edge detection of remote sensing(RS) image is the basis of comprehending of RS image. RS image is the integrated reflection of spectral and geometrical features of ground objects and phenomenon. It is not only the representation of feature of chroma and brightness, but also has complex spectral features and struct ure features. In general, the complexity of ground objects or phenomenon affects the information collection of RS
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