Name
Abstract | ||
|---|---|---|
The problem with visualization of hyper-spectral images on tri-stimulus displays arises from the fact that they contain hundreds of spectral bands while generally used display devices support only three bands/channels namely blue, green and red. Therefore, for visualization a hyper-spectral (HS) image has to be reduced to three bands. The main challenge while performing this band reduction is to retain and display the maximum information available in a hyper-spectral image. Human visual system focuses attention on certain regions in images called "salient regions". Therefore to provide a comprehensive representation of hyper-spectral data on tri-stimulus displays we propose to use a weighted fusion method of saliency maps and hyper-spectral bands. The efficacy of the proposed algorithm has been demonstrated by tests on both urban and countryside images of AVIRIS and ROSIS sensors. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IGARSS.2015.7325961 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Hyperspectral Images, Saliency, Human Visual System, Visualization | Computer vision,Data visualization,Full spectral imaging,Human visual system model,Salience (neuroscience),Computer science,Visualization,Remote sensing,Hyperspectral imaging,Display device,Artificial intelligence,Spectral bands | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.36 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haris Ahmad Khan | 1 | 1 | 0.36 |
| Muhammad Murtaza Khan | 2 | 134 | 14.34 |
| Khurram Khurshid | 3 | 129 | 15.94 |
| Jocelyn Chanussot | 4 | 4145 | 272.11 |