Application of nonnegative principal component analysis in hyperspectral imaging [6302-16]

Application of nonnegative principal component analysis in hyperspectral imaging [6302-16]

Author(s):: Bajorski P. ( Rochester Institute of Technology (USA) )
Publication title:: Imaging Spectrometry XI
Title of ser.:: Proceedings of SPIE - the International Society for Optical Engineering
Ser. no.:: 6302
Pub. Year:: 2006
Page(from):: 63020G
Pub. info.:: Bellingham, Wash.: SPIE - The International Society of Optical Engineering
ISSN:: 0277786X
ISBN:: 9780819463814 [0819463817]
Language:: English
Call no.:: P63600/6302
Type:: Conference Proceedings

Details

TDL ID:	ZA00016308
Series ID:	PA00000029
Conf. info. (Name):	Optics & Photonics : Imaging Spectrometry
Conf. info. (Number):	2006 : 11th
Conf. info. (Venue):	San Diego, CA, USA
Conf. info. (Date):	2006.08.14-2006.08.16

Similar Items:

1 Conference Proceedings Maximum Gaussianity models for hyperspectral images P. Bajorski Society of Photo-optical Instrumentation Engineers	7 Conference Proceedings Adaptive smoothing for subpixel target detection in hyperspectral imaging [6233-02] Bajorski P., Hall P. SPIE - The International Society of Optical Engineering
2 Conference Proceedings Analytical comparison of subpixel target detectors in structured models for hyperspectral images Bajorski, P. SPIE - The International Society of Optical Engineering	8 Conference Proceedings Hyperspectral image analysis using noise-adjusted principal component transform [6233-16] Du Q., Raksuntorn N. SPIE - The International Society of Optical Engineering
3 Conference Proceedings Stepwise simplex projection method for selection of endmembers in hyperspectral images Bajorski, P. SPIE - The International Society of Optical Engineering	9 Conference Proceedings Statistical models for physically derived target sub-spaces [6302-10] Ientilucci E. J., Bajorski P. SPIE - The International Society of Optical Engineering
4 Conference Proceedings Impact of missing endmembers on the performance of the OSP detector for hyperspectral images P. Bajorski SPIE - The International Society of Optical Engineering	10 Conference Proceedings Interference- and noise-adjusted principal component analysis for hyperspectral image compression Du, Q. SPIE - The International Society of Optical Engineering
5 Conference Proceedings A family of distributions for the error term in linear mixing models for hyperspectral images P. Bajorski Society of Photo-optical Instrumentation Engineers	11 Conference Proceedings Miniaturization of a VNIR hyperspectral imager [6302-23] Warren C. P., Friend M., Velasco A., Hinrichs J., Carleton C., Duncan M., Neumann J. SPIE - The International Society of Optical Engineering
6 Conference Proceedings Analytical comparison of the matched filter and orthogonal subspace projection detectors in structured models for hyperspectral images [6233-01 ] Bajorski P. SPIE - The International Society of Optical Engineering	12 Conference Proceedings Segmentation of hyperspectral images based on histograms of principal components Silverman, J., Rotman, S.R., Caefer, C.E. SPIE-The International Society for Optical Engineering

1

2

3

4

5

6

7

8

9

10

11

12