Vertex component analysis: a geometric-based approach to unmix hyperspectral data
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[1] Maurice D. Craig,et al. Minimum-volume transforms for remotely sensed data , 1994, IEEE Trans. Geosci. Remote. Sens..
[2] S. J. Sutley,et al. Ground-truthing AVIRIS mineral mapping at Cuprite, Nevada , 1992 .
[3] Maria Petrou,et al. Mixed pixels classification , 1998, Remote Sensing.
[4] D. C. Heinz,et al. Fully constrained least-squares based linear unmixing [hyperspectral image classification] , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).
[5] José M. Bioucas-Dias,et al. Does independent component analysis play a role in unmixing hyperspectral data? , 2005, IEEE Trans. Geosci. Remote. Sens..
[6] D. B. Nash,et al. Spectral reflectance systematics for mixtures of powdered hypersthene, labradorite, and ilmenite , 1974 .
[7] John A. Antoniades,et al. Real-time analysis of hyperspectral data sets using NRL's ORASIS algorithm , 1997, Optics & Photonics.
[8] Gregory Asner,et al. Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis , 2000, IEEE Trans. Geosci. Remote. Sens..
[9] I. Ginsberg,et al. Unsupervised hyperspectral image analysis using independent component analysis , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
[10] John A. Antoniades,et al. Use of filter vectors in hyperspectral data analysis , 1995, Optics & Photonics.
[11] R. Singer,et al. Mars - Large scale mixing of bright and dark surface materials and implications for analysis of spectral reflectance , 1979 .
[12] Antonio J. Plaza,et al. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[13] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[14] B. Hapke. Theory of reflectance and emittance spectroscopy , 1993 .
[15] John A. Antoniades,et al. Comparison of output from ORASIS and pixel purity calculations , 1998, Optics & Photonics.
[16] Pierre Comon,et al. Blind separation of sources, part II: Problems statement , 1991, Signal Process..
[17] J. Boardman,et al. Mapping target signatures via partial unmixing of AVIRIS data: in Summaries , 1995 .
[18] J. Boardman,et al. Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm , 1992 .
[19] Antonio J. Plaza,et al. Spatial/spectral endmember extraction by multidimensional morphological operations , 2002, IEEE Trans. Geosci. Remote. Sens..
[20] Dominique Lavenier,et al. Using blocks of skewers for faster computation of pixel purity index , 2000, SPIE Optics + Photonics.
[21] S. Gerstl,et al. Nonlinear spectral mixing models for vegetative and soil surfaces , 1994 .
[22] Jeff J. Settle,et al. On the relationship between spectral unmixing and subspace projection , 1996, IEEE Trans. Geosci. Remote. Sens..
[23] Maya Gokhale,et al. FPGA implementation of the pixel purity index algorithm , 2000, SPIE Optics East.
[24] Maria Petrou,et al. Confidence in linear spectral unmixing of single pixels , 1999, IEEE Trans. Geosci. Remote. Sens..
[25] Yu Hen Hu,et al. Optimal linear spectral unmixing , 1999, IEEE Trans. Geosci. Remote. Sens..
[26] John B. Adams,et al. SPECTRAL MIXTURE ANALYSIS - NEW STRATEGIES FOR THE ANALYSIS OF MULTISPECTRAL DATA , 1994 .
[27] Mario Winter,et al. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.
[28] P. Switzer,et al. A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .
[29] Gary A. Shaw,et al. Hyperspectral subpixel target detection using the linear mixing model , 2001, IEEE Trans. Geosci. Remote. Sens..
[30] J. B. Lee,et al. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform , 1990 .
[31] John F. Arnold,et al. Reliably estimating the noise in AVIRIS hyperspectral images , 1996 .
[32] John P. Kerekes,et al. Algorithm taxonomy for hyperspectral unmixing , 2000, SPIE Defense + Commercial Sensing.
[33] Mark L. G. Althouse,et al. Least squares subspace projection approach to mixed pixel classification for hyperspectral images , 1998, IEEE Trans. Geosci. Remote. Sens..
[34] R. Singer. Near-infrared spectral reflectance of mineral mixtures - Systematic combinations of pyroxenes, olivine, and iron oxides , 1981 .
[35] Anne B. Kahle,et al. Mapping of hydrothermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46 to 2.36µm , 1977 .
[36] Chein-I Chang,et al. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach , 1994, IEEE Trans. Geosci. Remote. Sens..
[37] Wallace M. Porter,et al. The airborne visible/infrared imaging spectrometer (AVIRIS) , 1993 .
[38] Robert F. Cromp,et al. Analyzing hyperspectral data with independent component analysis , 1998, Other Conferences.
[39] Chein-I Chang,et al. Multispectral and hyperspectral image analysis with convex cones , 1999, IEEE Trans. Geosci. Remote. Sens..
[40] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Xiaohui Zhang,et al. Independent component analysis for remote sensing study , 1999, Remote Sensing.
[42] W. H. Farrand,et al. Determining the number and identity of spectral endmembers; an integrated approach using Neyman-Person eigen-thresholding and iterative constrained RMS error minimization , 1993 .
[43] Erich Kaltofen,et al. ON THE COMPLEXITY OF COMPUTING DETERMINANTS , 2001 .
[44] B. Hapke. Bidirectional reflectance spectroscopy: 1. Theory , 1981 .
[45] Fred A. Kruse,et al. Comparison of airborne and satellite hyperspectral data for geologic mapping , 2002, SPIE Defense + Commercial Sensing.
[46] A. Mazer,et al. Image processing software for imaging spectrometry data analysis , 1988 .
[47] R. Clark,et al. Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications , 1984 .