| 高光谱图像融合最佳波段选择方法 |
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| 引用本文： | 郭雷,常威威,付朝阳.高光谱图像融合最佳波段选择方法[J].宇航学报,2011,32(2). |
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| 作者姓名： | 郭雷 常威威 付朝阳 |
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| 作者单位： | 西北工业大学自动化学院,西安,710072 |
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| 基金项目： | 国家自然科学基金，教育部博士点新教师基金 |
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| 摘 要： | 针对高光谱图像高数据维给图像处理带来的困难和影响,本文构造了高光谱图像融合的最佳波段选择新模型-联合偏度-峰度指数(Joint Skewness-Kurtosis figure,JSKF)模型,利用JSKF指数进行自适应子空间的分解和波段选择,降低高光谱数据维数;并将选择出的最佳波段组合进行了融合,实验结果表明,该方法所选择的波段信息差异较大、互补特征明显,融合后图像包含的信息量丰富,效果优于传统的自适应波段选择方法和主成分分析累计贡献率方法.
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| 关 键 词： | 高光谱图像 波段选择 融合 偏度 峰度 |
Band Selection of Optimal for Hyperspectral Image Fusion |
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| GUO Lei,CHANG Wei-wei,FU Chao-yang.Band Selection of Optimal for Hyperspectral Image Fusion[J].Journal of Astronautics,2011,32(2). |
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| Authors: | GUO Lei CHANG Wei-wei FU Chao-yang |
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| Institution: | GUO Lei,CHANG Wei-wei,FU Chao-yang(School of Automation,Northwestern Polytechnical University,Xi'an 710072,China) |
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| Abstract: | A novel band selection model called joint skewness-kurtosis figure(JSKF) is proposed to solve problem of high dimensions of hyperspectral images.The whole data base is automatically partitioned into different sub-spaces by the sign and value of JSKF.Then the optimal bands for image fusion are selected in each sub-space according to the absolute value of JSKF.This band selection algorithm is applied in OMIS hyperspectral images and the selected bands are fused by a common image fusion method.The experimental... |
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| Keywords: | Hyperspectral images Band selection Fusion Skewness Kurtosis |
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