New kernel function for hyperspectral image classification

2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010

Volumn 1, Issue , 2010, Pages 780-783

  Banki, Mohammad Hossein ^a   Shirazi, Ali Asghar Beheshti ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Hyperspectral images; Kernel function; Mexican hat wavelet; Remote sensing; SVM classification

Indexed keywords

GAUSSIANS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; KERNEL FUNCTION; NONLINEAR PROBLEMS; POLYNOMIAL KERNELS; SUPERVISED CLASSIFIERS; SVM CLASSIFICATION; SVM CLASSIFIERS; WAVELET KERNEL;

CLASSIFIERS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; LINEARIZATION; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

EID: 77952613161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAE.2010.5451241     Document Type: Conference Paper

References (12)

1. G. F. Hughes, "On the mean accuracy of statistical patternrecognizers," IEEE Trans. on Information Theory, vol. IT-14, pp.55-63,January1968
2. F.Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. RemoteSens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
3. J. A. Gualtieri and R. F. Cromp, "Support vector machines for hyperspectral remote sensing classification," Proc. SPIE, vol. 3584, pp.221-232, 1998
4. V. Vapnik. Statistical Learning Theory. New York: JohnWiley & Sons, 1998.
5. Mathieu Fauvel, Jocelyn Chanussot and Jon Atli Benediktsson, "Kernel Principle Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas," EURASIP Journal on Advances in Signal Processing ,vol 2009
6. B. Scholkopf and A. J. Smola, Learning with Kernels,MIT Press, 2002.
7. L. Zhang, W. Dazhou, and L. Jiao. Wavelet support vector machine. IEEE Tran. Systems, Man, and Cybernetics, 34(1):34-39, 2004.
8. W Chen, W Cui , C Zhu "Wavelet Support Vector Machine With Universal Approximation and its Application"IEEE Information TheoryWorkshop,2006
9. I.Daubechies ,"The wavelet transform, time-frequency localization and signal,analysis," IEEE Trans. Inform. Theory, vol. 36, pp. 961-1005, Sept.1990.
10. AVIRIS NW Indiana's Indian Pines 1992 Data Set. (original files), (groundtruth).[Online].Available:ftp://ftp.ecn.purdue.edu/biehl/MultiSpec/ 92AV3C.
11. C. Chang and C. Lin, LIBSVM: a library for support vector machines, 2001, Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.
12. Begum Demir and Sarp Erturk, "Hyperspectral Image Classification Using Relevance Vector Machines" IEEE Geosci. Remote Sens. Lett.,vol.4,no.4,pp586-590,Oct2007