| 样本加权约束能量最小化算法 |
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| 引用本文： | 尹继豪,孙建颖,王义松,高超. 样本加权约束能量最小化算法[J]. 电子学报, 2012, 40(4): 788-792. DOI: 10.3969/j.issn.0372-2112.2012.04.027 |
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| 作者姓名： | 尹继豪 孙建颖 王义松 高超 |
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| 作者单位： | 北京航空航天大学宇航学院,北京,100191 |
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| 基金项目： | 国家自然科学基金天文联合项目，高等学校博士学科点专项科研基金，航空科学基金 |
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| 摘 要： | 针对高光谱图像小目标探测中约束能量最小化算法对同类地物光谱多样性敏感,且不能有效识别大目标的问题,提出了一种样本加权CEM目标探测算法.通过光谱单位化处理,减小了目标点所在环境不同而出现的光谱差异.为精确地确定目标物在所有像元中所占的比例,以光谱相关性作为权值的度量对样本进行加权处理,有效降低了目标像素在样本自相关矩阵运算中所占的比重,使算法对大目标探测同样有效.
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| 关 键 词： | 目标探测 约束能量最小化 光谱单位化 样本加权 |
| 收稿时间： | 2011-01-22 |
Sample Weighting Constrained Energy Minimization Algorithm |
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| YiN Ji-hao , SUN Jian-ying , WANG Yi-song , GAO Chao. Sample Weighting Constrained Energy Minimization Algorithm[J]. Acta Electronica Sinica, 2012, 40(4): 788-792. DOI: 10.3969/j.issn.0372-2112.2012.04.027 |
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| Authors: | YiN Ji-hao SUN Jian-ying WANG Yi-song GAO Chao |
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| Affiliation: | (School of Astronautics,Beihang University,Beijing 100191,China) |
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| Abstract: | Constrained Energy Minimization(CEM) algorithm is very sensitive to spectral difference of the same object and cannot detect the large targets.We proposed a sample weighting CEM algorithm.Through spectral vector unitization,the errors caused by different environment are decreased,and target recognition accuracy is increased.To decrease the proportion in the sample autocorrelation matrix,we use spectral correlation as a similarity measure to weight the samples.The modified algorithm acquired the satisfied effect for large targets. |
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| Keywords: | target detection constrained energy minimization spectral vector unitization sample weighting |
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