Sparse Matrix Transform for Hyperspectral Image Processing
暂无分享,去创建一个
Charles A. Bouman | Guangzhi Cao | James Theiler | Leonardo R. Bachega | C. Bouman | J. Theiler | Guangzhi Cao
[1] S. Macenka,et al. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1988 .
[2] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[3] R. Kass,et al. Shrinkage Estimators for Covariance Matrices , 2001, Biometrics.
[4] James Theiler,et al. Improved matched-filter detection techniques , 1999, Optics & Photonics.
[5] Charles A. Bouman,et al. Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform , 2008, NIPS.
[6] K. Strimmer,et al. Statistical Applications in Genetics and Molecular Biology A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics , 2011 .
[7] Wallace M. Porter,et al. The airborne visible/infrared imaging spectrometer (AVIRIS) , 1993 .
[8] David A. Landgrebe,et al. Analyzing high-dimensional multispectral data , 1993, IEEE Trans. Geosci. Remote. Sens..
[9] John P. Kerekes,et al. Development of a Web-Based Application to Evaluate Target Finding Algorithms , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.
[10] Charles A. Bouman,et al. Sparse matrix transform for fast projection to reduced dimension , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[11] Xiaoli Yu,et al. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..
[12] David A. Landgrebe,et al. Signal Theory Methods in Multispectral Remote Sensing , 2003 .
[13] James Theiler,et al. Quantitative comparison of quadratic covariance-based anomalous change detectors. , 2008, Applied optics.
[14] Alan P. Schaum,et al. Hyperspectral change detection and supervised matched filtering based on covariance equalization , 2004, SPIE Defense + Commercial Sensing.
[15] J. Wishart. THE GENERALISED PRODUCT MOMENT DISTRIBUTION IN SAMPLES FROM A NORMAL MULTIVARIATE POPULATION , 1928 .
[16] P. Bickel,et al. Regularized estimation of large covariance matrices , 2008, 0803.1909.
[17] Don R. Hush,et al. Statistics for characterizing data on the periphery , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[18] Charles A. Bouman,et al. Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[19] Charles A. Bouman,et al. Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation , 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[20] James Theiler,et al. Proposed Framework for Anomalous Change Detection , 2006 .
[21] Nasser M. Nasrabadi,et al. Regularization for spectral matched filter and RX anomaly detector , 2008, SPIE Defense + Commercial Sensing.
[22] David A. Landgrebe,et al. Covariance Matrix Estimation and Classification With Limited Training Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[23] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[24] J. Friedman. Regularized Discriminant Analysis , 1989 .