12 search results - page 1 / 3 » High-resolution Hyperspectral Imaging via Matrix Factorizati... |
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to find nonnegative matrices X and Y from a subset of entries o...
ESANN
2006
13 years 10 months ago
2006
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 ...
EMMCVPR
2007
Springer
14 years 3 months ago
2007
Springer
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...