A methodology for modelling and retrieving satellite images basing on spatial knowledge: application to natural risks

Wassim Messaoudi; Imed Riadh Farah; Henda Ben Ghezala; Basel Solaiman

doi:10.1117/12.913473

30 September 2011 A methodology for modelling and retrieving satellite images basing on spatial knowledge: application to natural risks

Wassim Messaoudi, Imed Riadh Farah, Henda Ben Ghezala, Basel Solaiman

Author Affiliations +

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851Z (2011) https://doi.org/10.1117/12.913473
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

In this paper, we present a methodology for modelling and retrieving satellite images basing on their spatial knowledge. The main idea of our approach is that the use of spatial knowledge, reasoning and inference technique, can contribute to deduce the susceptibility of the scene at natural risks (erosion, flooding, fires, etc.). Our methodology takes in input a set of multi-sensor images representing a scene. It contains four modules: (1) Modelling of the scene, (2) fusion of image annotations, (3) similar case retrieval, and (4) reasoning and interpretation.

Citation Download Citation

Wassim Messaoudi, Imed Riadh Farah, Henda Ben Ghezala, and Basel Solaiman "A methodology for modelling and retrieving satellite images basing on spatial knowledge: application to natural risks", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851Z (30 September 2011); https://doi.org/10.1117/12.913473

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