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ICIP
2006
IEEE
14 years 10 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
JPDC
2006
185views more  JPDC 2006»
13 years 8 months ago
Commodity cluster-based parallel processing of hyperspectral imagery
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...
SSIAI
2002
IEEE
14 years 1 months ago
On the Optimal Choice of Quality Metric in Image Compression
Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
IASTEDCCS
2004
121views Hardware» more  IASTEDCCS 2004»
13 years 9 months ago
Performance of hyperspectral imaging algorithms using itanium architecture
This paper describes the experiences and results on implementing a set of hyperspectral imaging analysis algorithms on the Itanium Processor Family. On Itanium architecture all in...
Wilfredo E. Lugo-Beauchamp, Kennie Cruz, Carmen L....
IBPRIA
2007
Springer
14 years 2 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...