4 search results - page 1 / 1 » High-performance computing in remotely sensed hyperspectral ... |
IPPS
2006
IEEE
13 years 10 months ago
2006
IEEE
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
ERSA
2010
13 years 2 months ago
2010
The pixel purity index algorithm is employed in remote sensing for analyzing hyperspectral images. A single pixel usually covers several different materials, and its observed spect...
IGARSS
2009
13 years 2 months ago
2009
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
SBCCI
2003
ACM
13 years 9 months ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...