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ICIP
2009
IEEE
14 years 8 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...
ACSC
2006
IEEE
14 years 1 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...
TIP
2008
131views more  TIP 2008»
13 years 7 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...
TIP
2008
175views more  TIP 2008»
13 years 7 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...
ICPR
2010
IEEE
13 years 7 months ago
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
Antonio Plaza, Javier Plaza