A Bi-Criteria Optimization Approach Based Dimensionality Reduction Model
For The Color Display Of Hyperspectral Images
ABSTRACT |
This work proposes a new non-linear dimensionality reduction model based on a bi-criteria global optimization approach for the color display of hyperspectral images. The proposed fusion model is derived from two well-known and contradictory criteria of good visualization, namely; accuracy, with the preservation of spectral distance criterion and contrast, allowing the good separability of each observed existing material in the final visualized color image.
IMAGES |
gamma = 0 |
gamma = 0.10 |
gamma = 0.20 |
gamma = 0.40 |
gamma = 0.60 |