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Automatic Classification of Remote Sensing Image Using Ant Colony Clustering Algorithm

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4 Author(s)
Hannv Zhang ; Sch. of Urban & Environ. Sci., Northeast Normal Univ., Changchun, China ; Fang Huang ; Jiachen Guo ; Min Liu

Classification technology is an important branch of remote sensing technology. Exploring new methods to increase classification accuracies have been a key topic in remote sensing attracting scientist interests in recent years. Ant Colony Clustering Algorithm is a heuristic global optimization algorithm. In order to classify the remote sensing image, we use ants to obtain the number of cluster results through intelligent searching the optimum solutions after limited iterations. The Ant Colony Clustering Algorithm method using in automatic classification of remote sensing image obtain a good classification results.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009