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ESANN
2006
13 years 8 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
WIESS
2000
13 years 8 months ago
HP Caliper: An Architecture for Performance Analysis Tools
HP Caliper is an architecture for software developer tools that deal with executable (binary) programs. It provides a common framework that allows building of a wide variety of to...
Robert Hundt
PDP
2007
IEEE
14 years 1 months ago
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations
Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel al...
Antonio Plaza, David Valencia, Soraya Blazquez, Ja...
FCCM
2002
IEEE
126views VLSI» more  FCCM 2002»
14 years 9 days ago
Hyperspectral Image Compression on Reconfigurable Platforms
NASA’s satellites currently do not make use of advanced image compression techniques during data transmission to earth because of limitations in the available platforms. With th...
Thomas W. Fry, Scott Hauck
EMMCVPR
2007
Springer
14 years 1 months ago
3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
This study extended the computation of GLCM (gray level co-occurrence matrix) to a three-dimensional form. The objective was to treat hyperspectral image cubes as volumetric data s...
Fuan Tsai, Chun-Kai Chang, Jian-Yeo Rau, Tang-Huan...