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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...
WACV
2005
IEEE
14 years 28 days ago
Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging
A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. Th...
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak R...
ICIP
2005
IEEE
14 years 29 days ago
Hyperspectral imaging: potential in non-destructive analysis of palimpsests
Palimpsests -twice written manuscripts- are of great interest since they may contain important hidden text underneath the visible one. Hyperspectral imaging may aid the expert to ...
Konstantinos Rapantzikos, Costas Balas
ICIP
2009
IEEE
14 years 8 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
KES
2008
Springer
13 years 7 months ago
Classification of Hyperspectral Images Compressed through 3D-JPEG2000
Abstract. Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for la...
Ian Blanes, Alaitz Zabala, Gerard Moré, Xav...