Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Classification for Imprecise Environments
Machine Learning
Nonlinear operator for oriented texture
IEEE Transactions on Image Processing
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Change Detection with SPOT-5 and FORMOSAT-2 Imageries
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
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An automatic system to estimate the urbanization changes on the Belgian territory, using SPOT5 images and the National Geographic Institute vectorial database is proposed. The images and the vectorial data are first co-registered. Then, the vectorial database is projected and dilated to produce a mask representing the old status of the database. On the other hand, a fusion of two classification processes on the images enables to extract the built-up area and the communication network, providing a mask representing the actual state of the urbanization in the zone. The comparison between the two masks gives a coarse information of the changes.