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» Variational methods for spectral unmixing of hyperspectral i...
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DCC
2005
IEEE
14 years 7 months ago
Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages
In this paper, we propose a compression algorithm focused on the peculiarities of hyperspectral images. The spectral redundancy in hyperspectral images is exploited by using a con...
Hongqiang Wang, S. Derin Babacan, Khalid Sayood
TSP
2008
105views more  TSP 2008»
13 years 7 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
ICASSP
2011
IEEE
12 years 11 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICASSP
2009
IEEE
14 years 2 months ago
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing...
SPIEVIP
2010
13 years 10 months ago
Hyperspectral image segmentation, deblurring, and spectral analysis for material identification
An important aspect of spectral image analysis is identification of materials present in the object or scene being imaged. Enabling technologies include image enhancement, segment...
Fang Li, Michael K. Ng, Robert J. Plemmons, Sudhak...