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» Compression of Hyperspectral Imagery
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CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 4 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
AIPR
2008
IEEE
14 years 3 months ago
Intelligent multimodal and hyperspectral sensing for real-time moving target tracking
—Real time moving target tracking and identification with hyperspectral imagery is still very challenging with conventional sensors and algorithms. The increased information cont...
Tao Wang, Zhigang Zhu
ICIP
2009
IEEE
14 years 9 months ago
Spatial-spectral Endmember Extraction From Hyperspectral Imagery Using Multi-band Morphology And Volume Optimization
We develop a new approach for characterization of mixed pixels in remotely sensed hyperspectral images. The proposed method rst performs joint spatial-spectral pixel characterizat...
TSP
2008
105views more  TSP 2008»
13 years 8 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
13 years 9 days 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...