基于蚂蚁堆的遥感图像聚类研究

Remote Sensing Image Based on Ant Clustering of the Heap

遥感图像聚类是遥感图像处理领域的一个重要研究内容,也是遥感图像处理中的一个技术难点。蚁群算法的离散性和并行性特点对于处理背景复杂、目标特征多样的遥感图像具有良好的实用性。本文采用对具有不同特征的像素进行聚类的方法实施图像聚类,首先介绍了蚁群算法的基本原理并对蚁群聚类方式进行描述,然后对蚁群算法做出适当改进以实现图像分割。

Remote sensing image processing of remote sensing image clustering is an important research area is a remote sensing image processing technical difficulties.Ant colony characteristics of discrete and parallel processing for complex background,target feature a variety of remote sensing images with good usability.In this paper,characteristics of the pixels with different clustering approach for image clustering,first introduced the basic principles of ant colony algorithm and ant colony clustering approach to describe,and then make the appropriate improvements to the ant colony algorithm for image segmentation.