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
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)