关键词: 分类, 遗传算法, 整型编码, 遥感图像

Abstract: The traditional unsupervised classification divides all pixels into a corresponding class pixel by pixel.But the clustering number is not obtained accurately in advance，which would result in increasing the error classification rate and decreasing the classification accuracy.A new modified genetic algorithm is brought forward in order to obtain the clustering number and clustering centers of high resolution remote sensing image automatically properly.First，a new chromosome string is encoded by integer data in order to satisfy the variable clustering number，which not only decreases the computing complexity but also saves the memory space.Second，the Davies-Bouldin index is used as a measure of the validity of the clusters.Finally，a series of measures are used to modify the traditional genetic algorithm in order to enhance the adaptability and robusticity.All these are programmed with VC.The results prove the validity of the modified genetic algorithm and an optimization result of the remote sensing image classification is obtained.

Key words: classification, genetic algorithm, integer encoding, remote sensing image