157 search results - page 4 / 32 » Performance of hyperspectral imaging algorithms using itaniu... |
IGARSS
2010
13 years 3 months ago
2010
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. Linear spectral unmixing relies on two main steps: 1) identification of pure spectral c...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
SBCCI
2003
ACM
13 years 11 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...
ERSA
2010
13 years 3 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...
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
This work considers the efficient coding of hyperspectral images. The shape-adaptive DCT is extended to the three-dimensional case. Both the 3D-SA-DCT and the conventional 3D-DCT ...