| 引用本文: | 王立国,魏芳洁.结合APO算法的高光谱图像波段选择[J].哈尔滨工业大学学报,2013,45(9):100.DOI:10.11918/j.issn.0367-6234.2013.09.018 |
| WANG Liguo,WEI Fangjie
.Artificial physics optimization algorithm combined band selection for hyperspectral imagery[J].Journal of Harbin Institute of Technology,2013,45(9):100.DOI:10.11918/j.issn.0367-6234.2013.09.018 |
|
| 摘要: |
| 提出了结合拟态物理学优化(APO)算法的高光谱图像波段选择方法．该方法中采用了类间可分性和波段组合的信息量两个主要性能指标的权重组合作为适应度函数．此外,在波段选择之前对高光谱图像进行了子空间划分,使得最优解中的波段间相关性较小,冗余度低．利用AVIRIS图像对提出的算法与经典算法中蚁群算法、遗传算法和粒子群算法进行实验,实验结果证明了本文算法较经典算法在所选波段性能和计算耗时方面都获得令人满意的效果． |
| 关键词: 高光谱图像 波段选择 拟态物理学优化算法 适应度函数 |
| DOI：10.11918/j.issn.0367-6234.2013.09.018 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目 (9,0);教育部博士点新教师基金资助项目(200802171003)． |
|
| Artificial physics optimization algorithm combined band selection for hyperspectral imagery |
|
WANG Liguo, WEI Fangjie
|
|
(College of Information and Communications Engineering, Harbin Engineering University, 150001 Harbin, China)
|
| Abstract: |
| A new method of hyperspectral imagery band selection is proposed based on artificial physics optimization algorithm. In this method, the combination between classes separability and information of band groups is used as fitness function, and subspace division is used to deal with hyperspectral imagery before band selection to reduce the correlation and redundancy of the output band of hyperspectral imagery. AVIRIS imagery is used for experiment with the proposed algorithm and other classical algorithms which are ant colony algorithm, genetic algorithm and particle swarm optimization, and it turns out that this algorithm is more effective in both band chosen performance and computing time consumption than others. |
| Key words: hyperspectral imagery band selection artificial physics optimization algorithm (physicomimetics) sufficiency function |
