地理空间信息2013，Vol.11Issue(2)：88-91,4.DOI:10.11709/j.issn.1672-4623.2013.02.028
粒子群算法在极化SAR目标对比增强中的应用
Application of Particle Swarm Optimization in Polarimetric SAR Image Contrast Enhancement
摘要
Abstract
According to the calculation complex problem of SAR optimization of polarimetric contract enhancement, the particle swarm optimization algorithm was proposed and was verified effectively through SAR data experiments in this paper. In this method, the polarization contrast enhancement problem was abstract into the optimal problem, taking the statistical area average covariance matrix as the input of the particle swarm optimization algorithm, calculated the fitness of each particle, and updated the individual optimum of each particle swarm and the global optimum through iterative, and get the optimal contrast. All of the experiments demonstrate that the contrast enhancement algorithm that based on the particle swarm optimization algorithm can achieve better contrast, and achieve comparatively simple.关键词
极化SAP/极化对比增强/粒子群算法Key words
polarimetric SAR/ optimization of polarimetric contract enhancement/ particle swarm optimization分类
天文与地球科学引用本文复制引用
张中山,余洁,孟云闪..粒子群算法在极化SAR目标对比增强中的应用[J].地理空间信息,2013,11(2):88-91,4.
