Urban aerial image understanding using symbolic data

Henri Moissinac; Henri Maitre; Isabelle Bloch

doi:10.1117/12.196729

30 December 1994 Urban aerial image understanding using symbolic data

Henri Moissinac, Henri Maitre, Isabelle Bloch

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196729
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

An image interpretation method using symbolic data is presented. This method is adapted to urban scene analysis of aerial images, where the use of a priori knowledge is very helpful since the landscape is quite complex. A structure based on graphs is introduced to manage the knowledge learned about the observed scene. This structure tends to illustrate the hierarchical levels among the available data. The key point of this structure is the management of uncertainty. For the image interpretation stage, since such images can be too complicated for only one algorithm, we introduce a method for combining several algorithms that work competitively toward a same goal. Each one provides a different solution to the question studied. Then, based on conventional data fusion decision methods, for each object, the most reliable interpretation is selected taking advantage of the most efficient algorithm for these data. This approach is experimented on an urban aerial image where several algorithms for the road network extraction are combined with the help of symbolic data provided by a simple geographic map.

Citation Download Citation

Henri Moissinac, Henri Maitre, and Isabelle Bloch "Urban aerial image understanding using symbolic data", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196729

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