Automatic Classification of Remote Sensing Image Using Ant Colony Clustering Algorithm

被引：0

作者：

Zhang, Hannv ^{[1
]}

Huang, Fang ^{[1
]}

Guo, Jiachen ^{[1
]}

Liu, Min ^{[1
]}

机构：

[1] NE Normal Univ, Sch Urban & Environm Sci, Changchun, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Ant Colony Clustering Algorithm; Automatic classification; land cover; remote sensing; Changbai Mountain area; LAND-COVER CLASSIFICATION; SUPPORT VECTOR MACHINES; SENSED DATA; INTELLIGENCE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：170 / 173

页数：4

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