Loading...
Please wait, while we are loading the content...
Similar Documents
Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2011 |
| Abstract | In hyperspectral images, pixels are mixtures of spectral components associated to pure materials, called endmembers. Recently, to overcome the limitations of linear models, nonlinear unimixing techniques have been proposed in the literature. In this paper, nonlinear hyperspectral unmixing problem is studied through kernel-based learning theory. Endmember components at each spectral band are mapped implicitly into a high-dimensional feature space, in order to address nonlinear interactions of photons. Experiment results with both synthetic and real images illustrate the effectiveness of the proposed scheme. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cedric-richard.fr/Articles/chen2011nouveau.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
