计算机工程与应用2016，Vol.52Issue(21)：8-13,93,7.DOI:10.3778/j.issn.1002-8331.1602-0150
面向对象的竞争合作学习遥感影像聚类算法
Clustering algorithm of remote sensing image based on object oriented
摘要
Abstract
Among current clustering algorithms in remote sensing image processing, most of them have some unavoid-able 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.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Key words
competitive cooperative learning/image clustering/image classification/remote sensing image processing/object oriented分类
天文与地球科学引用本文复制引用
陈仁喜,李鑫慧,周绍光..面向对象的竞争合作学习遥感影像聚类算法[J].计算机工程与应用,2016,52(21):8-13,93,7.基金项目
国家自然科学基金（No.41471276，No.41271420）。 （）
