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» Statistics of Real-World Hyperspectral Images
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TIP
2008
131views more  TIP 2008»
13 years 4 months ago
Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding
Abstract--Hyperspectral images present some specific characteristics that should be used by an efficient compression system. In compression, wavelets have shown a good adaptability...
Emmanuel Christophe, Corinne Mailhes, Pierre Duham...
IBPRIA
2003
Springer
13 years 10 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
SPIEVIP
2010
13 years 7 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...
ICIP
2004
IEEE
14 years 6 months ago
A set theoretic approach to target detection using spectral signature statistics
Pixels in hyperspectral images usually contain spectra from several classifiable objects, so that the recorded pixel is a mixture of the classes. Current methods estimate the prop...
David M. Rouse, H. Joel Trussell
CVPR
2012
IEEE
11 years 7 months ago
Shape, albedo, and illumination from a single image of an unknown object
We address the problem of recovering shape, albedo, and illumination from a single grayscale image of an object, using shading as our primary cue. Because this problem is fundamen...
Jonathan T. Barron, Jitendra Malik