Model fusion for road extractions from multisource satellite images

Luc Pigeon; Laurent Lecornu; Basel Solaiman; Gwenael Brunet

doi:10.1117/12.421101

22 March 2001 Model fusion for road extractions from multisource satellite images

Luc Pigeon, Laurent Lecornu, Basel Solaiman, Gwenael Brunet

Proceedings Volume 4385, Sensor Fusion: Architectures, Algorithms, and Applications V; (2001) https://doi.org/10.1117/12.421101
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

In the field of pattern recognition from satellite images, the existing road extraction methods have been either too specialized or too time consuming. The challenge then has been to develop a general and close to real time road extraction method. This study falls in this perspective and aims at developing a close to real time semi-automatic system able to extract linear planimetric features (including roads). The major concern of this study is to combine the most efficient tools to deal with the road primitive extraction process in order to handle multi- resolution and multi-type raw images. Hence, this study brought along a new model fusion characterized by the combination of operator input points (in 2D or 3D), fuzzy image filtering, cubic natural splines and the A*algorithm. First, a cubic natural splines interpolation of the operator points is used to parameterize the A*algorithm. Cost function with the consequence to restrict the mining research area. Second, the heuristic function of the same algorithm is combined with the fuzzy filtering which proves to be a fast and efficient tool for selection of the primitive most promising points. The combination of the cost function and the heuristic function leads to a limited number of hypothetical paths, hence decreasing the computation time. Moreover, the combination of the A*algorithm and the splines leads to a new way to solve the perceptual grouping problems. Results related to the problem of feature discontinuity suggest new research perspectives in relation to noisy area (urban) as well as noisy data (radar images).

Citation Download Citation

Luc Pigeon, Laurent Lecornu, Basel Solaiman, and Gwenael Brunet "Model fusion for road extractions from multisource satellite images", Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); https://doi.org/10.1117/12.421101

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