This paper introduces the theory and algorithm process of the ACO for mining classification rules applied to remote sensing image classification. 介紹了將蟻群優化分類規則挖掘演算法應用到遙感圖像分類研究領域的理論與演算法流程。
According to the method classification test is done with ETM data, and the accuracy is compared with the one of maximum likelihood classifier. 結果表明，利用基於支持向量機的方法進行遙感圖像分類，精度明顯優於最大似然法分類的精度。
