Detection of unknown gas-phase chemical plumes in hyperspectral imagery
暂无分享,去创建一个
[1] James Theiler,et al. Scene analysis and detection in thermal infrared remote sensing using independent component analysis , 2004, SPIE Defense + Commercial Sensing.
[2] James Theiler,et al. Quantitative comparison of quadratic covariance-based anomalous change detectors. , 2008, Applied optics.
[3] James Theiler,et al. EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.
[4] Brian J. Daniel,et al. Continuum fusion methods of spectral detection , 2012 .
[5] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[6] Amit Banerjee,et al. Sparse feature extraction for Support Vector Data Description applications , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[7] Dimitris G. Manolakis,et al. Modeling hyperspectral imaging data , 2003, SPIE Defense + Commercial Sensing.
[8] S.R. Rotman,et al. Improved covariance matrices for point target detection in hyperspectral data , 2008, 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems.
[9] E. M. Winter,et al. Anomaly detection from hyperspectral imagery , 2002, IEEE Signal Process. Mag..
[10] B. Krauskopf,et al. Proc of SPIE , 2003 .
[11] James Theiler. Formulation for min-max clairvoyant fusion based on monotonic recalibration of statistics , 2012 .
[12] Daniel R. Fuhrmann,et al. A CFAR adaptive matched filter detector , 1992 .
[13] James Theiler,et al. Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery , 2010, IEEE Geoscience and Remote Sensing Letters.
[14] A. Fraser,et al. Characterizing non-Gaussian clutter and detecting weak gaseous plumes in hyperspectral imagery , 2005 .
[15] E. J. Kelly. An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.
[16] 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.
[17] Dimitris Manolakis. Signal processing algorithms for hyperspectral remote sensing of chemical plumes , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[18] Dimitris G. Manolakis,et al. Design and evaluation of robust matched filters for chemical agent detection , 2011, Security + Defence.
[19] James Theiler,et al. Confusion and clairvoyance: some remarks on the composite hypothesis testing problem , 2012, Defense + Commercial Sensing.
[20] James Theiler,et al. Beyond the adaptive matched filter: nonlinear detectors for weak signals in high-dimensional clutter , 2007, SPIE Defense + Commercial Sensing.
[21] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[22] A. Schaum. Hyperspectral target detection using a Bayesian likelihood ratio test , 2002, Proceedings, IEEE Aerospace Conference.
[23] James Theiler,et al. Local principal component pursuit for nonlinear datasets , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] S Matteoli,et al. A tutorial overview of anomaly detection in hyperspectral images , 2010, IEEE Aerospace and Electronic Systems Magazine.
[25] Charles L. Bennett,et al. Infrared hyperspectral imaging results from vapor plume experiments , 1995, Defense, Security, and Sensing.
[26] S. Macenka,et al. Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1988 .
[27] N. Nasrabadi,et al. Kernel RX : A new nonlinear anomaly detector , 2005 .
[28] James Theiler,et al. Detection of spectrally sparse anomalies in hyperspectral imagery , 2012, 2012 IEEE Southwest Symposium on Image Analysis and Interpretation.
[29] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[30] John P. Kerekes,et al. Statistics of hyperspectral imaging data , 2001, SPIE Defense + Commercial Sensing.
[31] Joseph Meola,et al. Airborne hyperspectral detection of small changes. , 2008, Applied optics.
[32] Stanley R. Rotman,et al. Anomaly detection in non-stationary backgrounds , 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[33] Steven M. Adler-Golden. Improved hyperspectral anomaly detection in heavy-tailed backgrounds , 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[34] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[35] James Theiler,et al. Improved matched-filter detection techniques , 1999, Optics & Photonics.
[36] James Theiler,et al. Sparse linear filters for detection and classification in hyperspectral imagery , 2006, SPIE Defense + Commercial Sensing.
[37] C. Gittins,et al. Detection and characterization of chemical vapor fugitive emissions by nonlinear optimal estimation: theory and simulation. , 2009, Applied optics.
[38] Don R. Hush,et al. Statistics for characterizing data on the periphery , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[39] Tsutomu Shimada,et al. Comparisons between hyperspectral passive and multispectral active sensor measurements , 2002, SPIE Defense + Commercial Sensing.
[40] Charles A. Bouman,et al. Evaluating and improving local hyperspectral anomaly detectors , 2011, 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
[41] Peter Bajorski. Min-max detection fusion for hyperspectral images , 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[42] A. Hayden,et al. Determination of trace-gas amounts in plumes by the use of orthogonal digital filtering of thermal-emission spectra. , 1996, Applied optics.
[43] E. Lehmann. Testing Statistical Hypotheses , 1960 .
[44] Eric Allman,et al. Hyperspectral change detection in high clutter using elliptically contoured distributions , 2007, SPIE Defense + Commercial Sensing.
[45] Xiaoli Yu,et al. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..
[46] David A. Landgrebe,et al. Signal Theory Methods in Multispectral Remote Sensing , 2003 .
[47] Dimitris G. Manolakis,et al. A taxonomy of algorithms for chemical vapor detection with hyperspectral imaging spectroscopy , 2005, SPIE Defense + Commercial Sensing.
[48] Alan Schaum,et al. Continuum fusion: a theory of inference, with applications to hyperspectral detection. , 2010, Optics express.
[49] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.
[50] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..