Contributions in belief functions and plausible and paradoxical reasoning theories: Application to supervised classification of satellite images

Author

Ben Dhiaf, Zouhour ; Haouas, Fatm ; Hamouda, Atef

Author_Institution

Fac. of Sci. of Tunis, Tunis, Tunisia

fYear

2014

Firstpage

1

Lastpage

6

Abstract

We present in this paper a new approach to determine the relevant focal elements within the framework of theories of belief functions and plausible and paradoxical reasoning. This approach is based on spectral information represented in the form of gray levels histograms. The particularity of this approach lies in its ability to reduce the sets of composites classes by keeping only the focal elements. Thus, the spatial and temporal complexity of the fusion and classification system based on the two theories is reduced.

Keywords

geophysical image processing; geophysical techniques; image classification; image fusion; belief functions; classification system; composites classes; focal elements; fusion system; gray level histograms; paradoxical reasoning theories; plausible reasoning; satellite image classification; spatial complexity; spectral information; temporal complexity; Cognition; Complexity theory; Conferences; Histograms; Image resolution; Uncertainty; Belief functions theory; Classification; Focal elements; Plausible and paradoxical reasoning theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, Applications and Systems Conference (IPAS), 2014 First International

Print_ISBN

978-1-4799-7068-1

Type

conf

DOI

10.1109/IPAS.2014.7043308

Filename

7043308