22 December 1997 Urban-area detection and classification on spot images using co-operative operators
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Abstract
The study of urban area is an important problem in image interpretation. It is interesting to be able to analyze town development on satellite images or to mask urban areas automatically. The method we present in this paper consists in the extraction of urban areas form remote sensing images and the classification of these areas. We separate the urban areas from the other types of regions. Then we classify hem according to a measure of the urban density. The algorithms we use, combine different types of operators in order to improve the final classification.
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Vincent Bessettes, Jacky Desachy, "Urban-area detection and classification on spot images using co-operative operators", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295617; https://doi.org/10.1117/12.295617
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