Performance analysis of the adaptive GMRF anomaly detector for hyperspectral imagery
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[1] José M. F. Moura,et al. Efficient detection in hyperspectral imagery , 2001, IEEE Trans. Image Process..
[2] Anil K. Jain. Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.
[3] John W. Woods,et al. Two-dimensional discrete Markovian fields , 1972, IEEE Trans. Inf. Theory.
[4] Xiaoli Yu,et al. Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach , 1997, IEEE Trans. Image Process..
[5] Susan Marie Schweizer,et al. The GMRF detector for hyperspectral imagery: An efficient fully-adaptive maximum likelihood detector , 1999 .
[6] Xiaoli Yu,et al. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..
[7] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics (Revised Edition) , 1999 .
[8] H. V. Trees. Detection, Estimation, And Modulation Theory , 2001 .
[9] Susan M. Thornton,et al. ML detection in hyperspectral imagery: a GMRF modeling approach , 1999, Defense, Security, and Sensing.
[10] Keinosuke Fukunaga,et al. Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.
[11] Xiaoli Yu,et al. Comparative performance analysis of adaptive multispectral detectors , 1993, IEEE Trans. Signal Process..