6533b823fe1ef96bd127fd66
RESEARCH PRODUCT
Saliency-Based Band Selection For Spectral Image Visu- alization
Steven Le MoanAlamin MansouriJon Yngve HardebergYvon Voisinsubject
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingSaliency[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingspectral imagescolor visualization[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdescription
International audience; In this paper, we introduce a new band selection ap- proach for the color visualization of spectral images. Un- like traditional methods, we propose to make a selection out of a comparison of the saliency maps of the individual spectral channels. This allows to assess how different they are in terms of prominent features. A comparison metric based on Shannon's information theory at the second and third order is presented and results are subjectively and ob- jectively compared to other dimensionality reduction tech- niques on three datasets, demonstrating the efficiency of the proposed approach.
year | journal | country | edition | language |
---|---|---|---|---|
2011-11-07 |