Local mapping for multispectral image visualization

Image and Vision Computing

Volumn 19, Issue 13, 2001, Pages 971-978

  Scheunders, P ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Local principal component analysis; Multispectral image visualization; Self organizing maps

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; EIGENVALUES AND EIGENFUNCTIONS; PRINCIPAL COMPONENT ANALYSIS; SELF ORGANIZING MAPS; VISUALIZATION;

IMAGE VISUALIZATION;

IMAGE ANALYSIS;

EID: 0035498524     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(01)00058-0     Document Type: Article

References (12)

1. Multiparametric display of spin-echo data from mr studies of brain
2. Wavelet based texture segmentation of multi-model tomographic images
3. The use of intensity-hue saturation transformations for merging spot panchoromatic and multispectral image data
4. Multi-spectral image visualization by projection pursuit
5. Analyzing high-dimensional multispectral data
6. Multispectral image visualization with nonlinear projections
7. A generalized component substitution technique for spatial enhancement of multispectral image using a higher resolution data set
8. Multispectral analysis of the brain using magnetic resonance imaging
9. Hierarchical image fusion
10. Image merging and data fusion by means of the discrete two-dimensional wavelet transform