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| 粒子群优化算法在遥感影像增强中的应用 | |
| 引用本文： | 李林宜,李德仁. 粒子群优化算法在遥感影像增强中的应用[J]. 测绘学院学报, 2010, 0(2) |
| 作者姓名： | 李林宜 李德仁 |
| 作者单位： | 武汉大学遥感信息工程学院;武汉大学测绘遥感信息工程国家重点实验室; |
| 基金项目： | 国家自然科学基金资助项目(40523005);;武汉大学自主科研资助项目(4082007) |
| 摘 要： | 遥感影像的复杂性给影像增强处理带来了困难。非完全Beta函数增强方法具有理想的增强效果,但是,其参数的合理选取是算法的关键与难点。粒子群优化算法(PSO)是基于鸟群群体智能的新型进化计算技术,具有自适应、自组织等智能特性,具有强大的寻找最优解的能力。这里将PSO用于Beta函数参数的自适应选取,实现了基于PSO的非完全Beta函数增强方法,并通过航空和卫星遥感影像的增强实验,验证了该方法的有效性。 |
| 关 键 词： | 粒子群优化算法 遥感 影像增强 自适应 参数选取 |
Research on Particle Swarm Optimization in Remote Sensing Image Enhancement |
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| LI Lin-yi,LI De-ren. Research on Particle Swarm Optimization in Remote Sensing Image Enhancement[J]. Journal of Institute of Surveying and Mapping, 2010, 0(2) | |
| Authors: | LI Lin-yi LI De-ren |
| Affiliation: | 1.School of Remote Sensing and Information Engineering;Wuhan University;Wuhan 430079;China;2.State Key Laboratory of Information Engineering in Surveying;Mapping and Remote Sensing;China |
| Abstract: | Due to the complexity of remote sensing images,remote sensing image enhancement becomes a difficult task.Although the incomplete Beta function enhancement method has good enhancement effects,Beta function parameter selection is the key and difficult problem.Particle swarm optimization(PSO) is a new evolutionary computing technique that is based on swarm intelligence of bird flocks.Because of its intelligent properties such as adaptation and self-organizing,PSO has the strong ability to search for the optima... |
| Keywords: | particle swarm optimization remote sensing image enhancement adaptive parameter selection |
| 本文献已被 CNKI 等数据库收录！ | |