Training Data Assisted Anomaly Detection of Multi-Pixel Targets In Hyperspectral Imagery
暂无分享,去创建一个
Jun Liu | Weijian Liu | Danilo Orlando | Hongbin Li | Yutong Feng | Hongbin Li | D. Orlando | Jun Liu | Weijian Liu | Yutong Feng
[1] Yongliang Wang,et al. Adaptive Double Subspace Signal Detection in Gaussian Background—Part I: Homogeneous Environments , 2014, IEEE Transactions on Signal Processing.
[2] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[3] Hongbin Li,et al. Parametric adaptive signal detection for hyperspectral imaging , 2006, IEEE Transactions on Signal Processing.
[4] Glenn Healey,et al. The impact of viewing geometry on material discriminability in hyperspectral images , 2001, IEEE Trans. Geosci. Remote. Sens..
[5] Chein-I Chang,et al. Anomaly detection and classification for hyperspectral imagery , 2002, IEEE Trans. Geosci. Remote. Sens..
[6] Daniel R. Fuhrmann,et al. A CFAR adaptive matched filter detector , 1992 .
[7] Xiaoli Yu,et al. Comparative performance analysis of adaptive multispectral detectors , 1993, IEEE Trans. Signal Process..
[8] Yongliang Wang,et al. Adaptive Double Subspace Signal Detection in Gaussian Background—Part II: Partially Homogeneous Environments , 2014, IEEE Transactions on Signal Processing.
[9] E. J. Kelly. An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.
[10] Nasser M. Nasrabadi,et al. Automated Hyperspectral Cueing for Civilian Search and Rescue , 2009, Proceedings of the IEEE.
[11] Bo Du,et al. A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[12] Wei An,et al. A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[13] Shuo Yang,et al. Hyperspectral Image Target Detection Improvement Based on Total Variation , 2016, IEEE Transactions on Image Processing.
[14] Marco Diani,et al. Adaptive detection algorithm for full pixel targets in hyperspectral images , 2005 .
[15] S Matteoli,et al. A tutorial overview of anomaly detection in hyperspectral images , 2010, IEEE Aerospace and Electronic Systems Magazine.
[16] Nasser M. Nasrabadi,et al. Hyperspectral Target Detection : An Overview of Current and Future Challenges , 2014, IEEE Signal Processing Magazine.
[17] Ahmad W. Bitar,et al. Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[18] I. Reed,et al. A Detection Algorithm for Optical Targets in Clutter , 1987, IEEE Transactions on Aerospace and Electronic Systems.
[19] L. Scharf,et al. The CFAR adaptive subspace detector is a scale-invariant GLRT , 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).
[20] H. O. Posten. Multidimensional Gaussian Distributions , 1964 .
[21] Antonio De Maio,et al. Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix , 2007, IEEE Transactions on Signal Processing.
[22] E. M. Winter,et al. Anomaly detection from hyperspectral imagery , 2002, IEEE Signal Process. Mag..
[23] Edward J. Kelly. Finite-Sum Expressions for Signal Detection Probabilities , 1981 .
[24] Heesung Kwon,et al. Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[25] Licheng Jiao,et al. Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[26] Xiaoli Yu,et al. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..
[27] Miguel Angel Veganzones,et al. Hyperspectral Anomaly Detectors Using Robust Estimators , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[28] Rui Guo,et al. Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[29] Eric Truslow,et al. Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms , 2014, IEEE Signal Processing Magazine.
[30] Dimitris G. Manolakis,et al. Detection algorithms for hyperspectral imaging applications , 2002, IEEE Signal Process. Mag..
[31] Xiaoli Yu,et al. Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach , 1997, IEEE Trans. Image Process..
[32] I. Reed,et al. Adaptive Optical Target Detection Using Correlated Images , 1985, IEEE Transactions on Aerospace and Electronic Systems.
[33] Glenn Healey,et al. Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions , 1999, IEEE Trans. Geosci. Remote. Sens..