Stochastic compositional models applied to subpixel analysis of hyperspectral imagery
- Author(s):
- Stein,D.W.J. ( Space and Naval Warfare Systems Ctr. )
- Publication title:
- Imaging spectrometry VII : 1-3 August 2001, San Diego, USA
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4480
- Pub. Year:
- 2001
- Page(from):
- 49
- Page(to):
- 56
- Pages:
- 8
- Pub. info.:
- Bellingham, Wash., USA: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819441942 [0819441945]
- Language:
- English
- Call no.:
- P63600/4480
- Type:
- Conference Proceedings
Similar Items:
1
Conference Proceedings
Material identification and classification in hyperspectral imagery using the normal compositional model
SPIE-The International Society for Optical Engineering |
SPIE - The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
8
Conference Proceedings
Compression algorithm for hyperspectral imagery using the linear mixing model and wavelet transformation
SPIE-The International Society for Optical Engineering |
3
Conference Proceedings
Detection of small targets in clutter modeled as a Gaussian mixture or a hidden Markov process
SPIE-The International Society for Optical Engineering |
9
Conference Proceedings
Lagrange constraint neural network for fully constrained subpixel classification in hyperspectral imagery
SPIE-The International Society for Optical Engineering |
4
Conference Proceedings
Generation of synthetic HSI data using linear mixing model with Gaussian endmembers
SPIE - The International Society of Optical Engineering |
10
Conference Proceedings
Automated target recognition in hyperspectral imagery using subpixel spatial information
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
Society of Photo-optical Instrumentation Engineers |
SPIE - The International Society of Optical Engineering |