New Method of Remote Sensing Image Classification Based on Ant Colony

摘要：

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.

关键词： Ant Colony Algorithm image classification remote sensing image

作者: Rui Li Xin Meia JunYiLiu

作者单位: 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

会议类型: 国际会议

会议名称: 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)

会议地点: 重庆

会议语种:英文

页码: 878-882

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）