8 search results - page 1 / 2 » Joint Dimensionality Reduction, Classification and Segmentat... |
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
ESANN
2006
13 years 6 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 ...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
AIPR
2002
IEEE
13 years 10 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...