Title | ||
---|---|---|
Adaptive spectral reflectance recovery using spatio-spectral support from hyperspectral images |
Abstract | ||
---|---|---|
Accurate knowledge of spectral reflectance is crucial for hyperspectral image analysis. We propose a novel spectral reflectance recovery method by adaptive spatio-spectral support. The proposed technique is evaluated in both simulated and real illumination scenarios. A multi-illuminant hyper-spectral scene database has been collected and made publicly available. Experiments show that the adaptive illuminant estimation reduces the mean angular error of recovered spectra by 13%. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/ICIP.2014.7025133 | Image Processing |
Keywords | Field | DocType |
computer vision,hyperspectral imaging,parameter estimation,adaptive spectral reflectance recovery,hyperspectral image analysis,mean angular error,multiilluminant hyperspectral scene database,spatio-spectral support,Spectral reflectance,hyperspectral image,illumination recovery,spatio-spectral | Computer vision,Full spectral imaging,Angular error,Computer science,Hyperspectral imaging,Spectral line,Standard illuminant,Artificial intelligence,Reflectivity,Chemical imaging | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zohaib Khan | 1 | 45 | 5.56 |
Faisal Shafait | 2 | 1324 | 88.97 |
A. Mian | 3 | 1679 | 84.89 |