会议专题

New Method of Remote Sensing Image Classification Based on Ant Colony

For enhancing the accuracy and the versatility of automatic image classification, on the basis of the traditional Ant Colony Algorithm, we try to analysis the images from a new angle, and introduce the model of Ant Colony Algorithm, and take the exploratory research. According to the biological characteristic of the ant colonys community intelligences, this method achieves the classification of remote sensing images. The method is applied to TM image of Hubei Province. Comparing with unsupervised classification, it achieves better results.

Ant Colony Algorithm image classification remote sensing image

Rui Li Xin Meia JunYiLiu

Key Laboratory of Resources Remote Sensing & Digital Agriculture, Ministry of Agriculture,Beijing, C State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan Unive

国际会议

2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

重庆

英文

878-882

2011-08-20(万方平台首次上网日期,不代表论文的发表时间)