Band selection for lossless image compression
- Author(s):
- Hunt,S.D. ( Univ. of Puerto Rico/Mayaguez )
- Velez-Reyes,M.
- Publication title:
- Algorithms for multispectral, hyperspectral, and ultraspectral imagery VII : 16-19 April 2001, Orlando, USA
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4381
- Pub. Year:
- 2001
- Page(from):
- 76
- Page(to):
- 83
- Pages:
- 8
- Pub. info.:
- Bellingham, Wash.: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819440761 [0819440760]
- Language:
- English
- Call no.:
- P63600/4381
- Type:
- Conference Proceedings
Similar Items:
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
2
Conference Proceedings
Effects of resolution enhancement and atmospheric correction preprocessing in classification of hyperspectral imagery
SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
3
Conference Proceedings
A comparison of noise reduction methods for image enhancement in classification of hyperspectral imagery
SPIE - The International Society of Optical Engineering |
9
Conference Proceedings
Comparison of matrix factorization algorithms for band selection in hyperspectral imagery
SPIE - The International Society for Optical Engineering |
4
Conference Proceedings
New developments and application of the UPRM MATLAB hyperspectral image analysis toolbox
SPIE - The International Society of Optical Engineering |
10
Conference Proceedings
Development of a field test environment for the validation of coastal remote sensing algorithms: Enrique Reef, Puerto Rico
SPIE - The International Society of Optical Engineering |
5
Conference Proceedings
Comparison of principal-component-based band selection methods for hyperspectral imagery
SPIE-The International Society for Optical Engineering |
SPIE - The International Society of Optical Engineering |
6
Conference Proceedings
Determining the dimensionality of hyperspectral imagery for unsupervised band selection
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Unsupervised feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis
SPIE-The International Society for Optical Engineering |