Sciweavers

54 search results - page 5 / 11
» Variational methods for spectral unmixing of hyperspectral i...
Sort
View
ICIP
2004
IEEE
14 years 9 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
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...
IGARSS
2009
13 years 5 months ago
Optimum Sampling Scheme for Characterization of Mine Tailings
The paper describes a novice method for sampling geochemicals to characterize mine tailings. We model the spatial relationships between a multi-element signature and, as covariate...
Pravesh Debba, Emmanuel John M. Carranza, Alfred S...
ICASSP
2011
IEEE
12 years 11 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...
AIPR
2005
IEEE
14 years 1 months ago
Hyperspectral Detection Algorithms: Operational, Next Generation, on the Horizon
Abstract—The multi-band target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful example of image fusion. A core suite of su...
A. Schaum