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TIP
2008
175views more  TIP 2008»
13 years 5 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
IGARSS
2010
13 years 3 months ago
Parallel implementation of the N-FINDR endmember extraction algorithm on commodity graphics processing units
Endmember extraction is an important technique in the context of spectral unmixing of remotely sensed hyperspectral data. Winter's N-FINDR algorithm is one of the most widely...
Sergio Sánchez, Gabriel Martin, Antonio J. ...
TIP
2008
131views more  TIP 2008»
13 years 5 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...
ICIP
2010
IEEE
13 years 3 months ago
Hyperspectral image segmentation and unmixing using hidden Markov trees
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors. We hypothesize that hy...
Roni Mittelman, Alfred O. Hero III
JPDC
2008
217views more  JPDC 2008»
13 years 5 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza