Inverting hyperspectral images with Gaussian regularized sliced inverse regression

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 463-468

  Bernard Michel, C ^a   Doute S ^b   Gardes, L ^a   Girard, S ^a  

^a INRIA RHÔNE ALPES   (France)

^b LABORATOIRE D ASTROPHYSIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CURSE OF DIMENSIONALITY; FUNCTIONAL RELATIONSHIP; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE ANALYSIS; K-NEAREST NEIGHBORS; PARTIAL LEAST-SQUARE REGRESSION; PHYSICAL PARAMETERS; SLICED INVERSE REGRESSIONS;

INDEPENDENT COMPONENT ANALYSIS; NEURAL NETWORKS; SPECTROSCOPY;

ESTIMATION;

EID: 84887011285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. C. Bernard-Michel, S. Douté, L. Gardes, and S. Girard. Estimation of mars surface physical properties from hyperspectral images using sliced inverse regression. Technical report, INRIA, http://hal.inria.fr/inria-00187444/, 2007.
2. C. Bernard-Michel, L. Gardes, and S. Girard. Gaussian regularized sliced inverse regression. Technical report, INRIA, http://hal.inria.fr/inria-00180496/, 2007.
3. C.M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
4. S. Douté, B. Schmitt, J.-P. Bibring, Y. Langevin, F. Altieri, G. Bellucci, B. Gondet, and The Mars Express Omega Team. Nature and composition of the icy terrains from mars express omega observations. Planetory and Space Science, 55:113-133, 2007.
5. S.S. Durbha, R.L. King, and N.H. Younan. Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer. Remote Sensing of Environment, 107:348-361, 2007.
6. I. Ildiko and J. Friedman. A statistical view of some chemometrics regression tools. Technometrics, 35(2):109-148, 1993.
7. B. Kamgar-Parsi and J.A. Gualtieri. Solving inversion problems with neural networks. International Joint Conference on Neural Networks, 3:955-960, 1990.
8. D.S. Kimes, Y. Knyazikhin, J.L. Privette, A.A. Abuegasim, and F. Gao. Inversion methods for physically-based models. Remote Sensing Reviews, 18:381-439, 2000.
9. K.C. Li. Sliced inverse regression for dimension reduction. Journal of the American Statistical Association, 86:316-327, 1991.
10. Aster R.C., B. Borchers, and Thurber C.H. Parameter Estimation and Inverse Problems. Elsevier Academic Press, 2005.
11. F. Schmidt, S. Douté, and B. Schmitt. WAVANGLET: an efficient supervised classifier for hyperspectral images. Geoscience and Remote Sensing, IEE Transactions, 45(5):1374-1385, 2007.
12. A. Tarantola. Inverse problem theory and model parameter estimation. SIAM, 2005.