电子学报2012，Vol.40Issue(4)：788-792,5.DOI:10.3969/j.issn.0372-2112.2012.04.027
样本加权约束能量最小化算法
Sample Weighting Constrained Energy Minimization Algorithm
摘要
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.关键词
目标探测/约束能量最小化/光谱单位化/样本加权Key words
target detection/constrained energy minimization/spectral vector unitization/sample weighting分类
信息技术与安全科学引用本文复制引用
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):788-792,5.基金项目
国家自然科学基金天文联合项目(No.11078007) （No.11078007）
高等学校博士学科点专项科研基金(No.20101102120030) （No.20101102120030）
航空科学基金(No.20100151002) （No.20100151002）
