This paper introduces the theory and algorithm process of the ACO for mining classification rules applied to remote sensing image classification. 介绍了将蚁群优化分类规则挖掘算法应用到遥感图像分类研究领域的理论与算法流程。
According to the method classification test is done with ETM data, and the accuracy is compared with the one of maximum likelihood classifier. 结果表明，利用基于支持向量机的方法进行遥感图像分类，精度明显优于最大似然法分类的精度。
