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Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification

机译：高光谱图像分类小样本逆协方差矩阵估计的回归方法

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Are C. Jensen;
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年度 2008
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1. Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification [J] . Jensen A.C., Berge A., Solberg A.S. IEEE Transactions on Geoscience and Remote Sensing. . 2008,第10期

机译：小样本逆协方差矩阵估计的高光谱图像分类回归方法
2. Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images [J] . Velasco-Forero Santiago, Chen Marcus, Goh Alvina, Selected Topics in Signal Processing, IEEE Journal of . 2015,第6期

机译：高光谱图像中异常检测的协方差矩阵估计的比较分析
3. Improved estimation of local background covariance matrix for anomaly detection in hyperspectral images [J] . Stefania Matteoli member spie Marco Diani member spie and Giovanni Corsini Optical Engineering . 2010,第4期

机译：用于高光谱图像异常检测的局部背景协方差矩阵的改进估计
4. Regression approaches to small sample inverse covariance matrix estimation for hyperspectral image classification [C] . Jensen Are C., Berge Asbjorn, Solberg Anne Schistad, IEEE International Geoscience and Remote Sensing Symposium . 2007

机译：对高光谱图像分类的小样本逆协方差矩阵估计的回归方法
5. Iterative Training Sampling and Active Learning Approaches to Hyperspectral Image Classification [D] . Ma, Kenneth Yeonkong. 2021

机译：高光谱图像分类的迭代培训抽样和主动学习方法
6. Simultaneous Multiple Response Regression and Inverse Covariance Matrix Estimation via Penalized Gaussian Maximum Likelihood [O] . Wonyul Lee, Yufeng Liu -1

机译：通过惩罚高斯最大可能性同时多重响应回归和逆协方差矩阵估计
7. Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images [O] . Velasco-Forero, Santiago, Chen, Marcus, Goh, Alvina, 2015

机译：高光谱图像中异常检测的协方差矩阵估计的比较分析
8. An Inverse Regression Method for Determining an Ensemble of State Error Vectors from a Covariance Matrix. [R] . Brunsvold, R. S. 1977

机译：一种从协方差矩阵确定状态误差向量集合的逆回归方法。

Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification

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