关键词: 竞争合作学习, 图像聚类, 图像分类, 遥感影像处理, 面向对象

Abstract: Among current clustering algorithms in remote sensing image processing, most of them have some unavoidable disadvantages, such as, difficulty to specify the number of classes, slow clustering performance, lack of stability and salt noised results. Based on object oriented image processing technique and the principle of competitive cooperative learning, this paper proposes an automatic image clustering algorithm, which does not need to specify the extract number of classes. In order to speed up the algorithm and obtain stable results, this paper proposes a novel dynamic median cut method to select the optimized initial cluster centers. Experiments show that the proposed clustering algorithm can obtain satisfying results and is valuable for application of automatic remote sensing image classification.

Key words: competitive cooperative learning, image clustering, image classification, remote sensing image processing, object oriented