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(yōu)化分類(lèi)規則挖掘算法應用到遙感圖像分類(lèi)研究領(lǐng)域的理論與算法流程。
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，利用基于支持向量機的方法進(jìn)行遙感圖像分類(lèi)，精度明顯優(yōu)于最大似然法分類(lèi)的精度。
classification of remote sensing image的相關(guān)資料：
