激光与光电子学进展, 2018, 55 (8): 081002, 网络出版: 2018-08-13  

基于选择性分段行-列二维主成分分析的高光谱图像异常检测 下载: 511次

Anomaly Detection Based on Selective Segmentation Row-Column Two-Dimensional Principal Component Analysis for Hyperspectral Images
作者单位
1 空军航空大学航空作战勤务学院, 吉林 长春 130022
2 中国人民解放军78102部队, 四川 成都 610031
3 中国人民解放军93116部队, 辽宁 沈阳 110100
引用该论文

杨桄, 向英杰, 王琪, 田张男. 基于选择性分段行-列二维主成分分析的高光谱图像异常检测[J]. 激光与光电子学进展, 2018, 55(8): 081002.

Yang Guang, Xiang Yingjie, Wang Qi, Tian Zhangnan. Anomaly Detection Based on Selective Segmentation Row-Column Two-Dimensional Principal Component Analysis for Hyperspectral Images[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081002.

参考文献

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杨桄, 向英杰, 王琪, 田张男. 基于选择性分段行-列二维主成分分析的高光谱图像异常检测[J]. 激光与光电子学进展, 2018, 55(8): 081002. Yang Guang, Xiang Yingjie, Wang Qi, Tian Zhangnan. Anomaly Detection Based on Selective Segmentation Row-Column Two-Dimensional Principal Component Analysis for Hyperspectral Images[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081002.

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