Fractal-based dimensionality reduction of hyperspectral images
β Scribed by Jayanta Kumar Ghosh; Ankur Somvanshi
- Book ID
- 107660219
- Publisher
- Springer-Verlag
- Year
- 2008
- Tongue
- English
- Weight
- 728 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0255-660X
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Locally linear embedding (LLE) is a nonlinear dimensionality reduction method proposed recently. It can reveal the intrinsic distribution of data, which cannot be provided by classical linear dimensionality reduction methods. The application of LLE, however, is limited because of its lack of a param
## Abstract Hyperspectral imaging sensors are continuously enhanced by increasing spatial and spectral resolution. However, the βcurse of dimensionalityβ comes into effect, as the amount of acquired data increases in third order (two spatial, one spectral dimension). On top of that, the computation