Title :
Automatic Classification of Remote Sensing Image Using Ant Colony Clustering Algorithm
Author :
Zhang, Hannv ; Huang, Fang ; Guo, Jiachen ; Liu, Min
Author_Institution :
Sch. of Urban & Environ. Sci., Northeast Normal Univ., Changchun, China
Abstract :
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.
Keywords :
geophysical signal processing; image classification; optimisation; pattern clustering; remote sensing; ant colony clustering algorithm; automatic classification; heuristic global optimization algorithm; remote sensing image; Ant colony optimization; Artificial intelligence; Classification algorithms; Clustering algorithms; Heuristic algorithms; Image analysis; Image classification; Multiagent systems; Particle swarm optimization; Remote sensing;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5300869
