Support Vector Machine and various methods of Multi-Spectral satellite image classification

2013 International Conference on Advances in Technology and Engineering, ICATE 2013

Volumn , Issue , 2013, Pages

  Patki, Priti Sudhir ^a   Kelkar, Vishakha V ^a  

^a NONE

Author keywords

Artificial Neural Network; Fuzzy Measure; Genetic Algorithm; Image Classification; Support Vector Machine

Indexed keywords

CLASSIFICATION TECHNIQUE; FUZZY MEASURES; MULTISPECTRAL IMAGES; MULTISPECTRAL SATELLITE IMAGE; SATELLITE IMAGES; SUPPORT VECTOR MACHINE ALGORITHM;

GENETIC ALGORITHMS; NEURAL NETWORKS; SATELLITE IMAGERY; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

IMAGE CLASSIFICATION;

EID: 84879676231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAdTE.2013.6524740     Document Type: Conference Paper

References (13)

1. Hua-Mei Chen, Varshney, P.K. and Arora, M.K, "Performance of mutual information similarity measure for registration of multitemporal remote sensing images ", IEEE Transactions on Geoscience and Remote Sensing, Vol.41 No.11, pp. 2445-2454, 2003.
2. M. Govender, K. Chetty, V. Naiken and H. Bulcock, "A comparison of satellite hyperspectral and multispectral remote sensing imagery for improved classification and mapping of vegetation", Water SA, Vol. 34, No. 2, April 2008.
3. Lin C. T., Lee, C. G., 1996. Neural Fuzzy Systems, Prentice Hall Publication, Lowe, D.G., 1991. Fitting parameterized three dimensional models to images, IEEE Transactions on Pattern Analysis and Machine Intelligence 13(5), 441-450.
4. Bezdek, J.C., Enrlich, R.and Full, W., FCM, 1984, The fuzzy c-means clustering algorithm, Comp., vol.10, pp. 191-203,1984.
5. M. Seetha, I.V.Muralikrishna, B.L.Deekshatulu, B.L.Malleswari, Nagaratna, P.Hegde, "Artificial neural network and other methods of image classification", Journal of Theoretical and Applied Information Technology © 2005-2008 JATIT.
6. C. J. Burges, "A tutorial on support vector machines for pattern recognition," in Data mining and knowledge discovery, U. Fayyad,Ed. Kluwer Academic, 1998, pp. 1-43.
7. Miloŝ Kovaevi, Branislav Bajat, Branislav Trivi, Radmila Pavlovi, "Geological Units Classification of Multispectral Images by Using Support Vector Machines", 2009 International Conference on Intelligent Networking and Collaborative Systems, 978-0-7695-3858-7/09.
8. S.V.S Prasad, Dr. T. Satya Savitri, Dr. I.V. Murali Krishna, "Classification of Multispectral Satellite Images using Clustering with SVM Classifier",International Journal of Computer Applications (0975-8887) Volume 35-No.5, December 2011.
9. Helmi Zuihaidi Mohd Shafri, Affendi Suhaili, Shattri Mansor, "The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis", Journal of Computer Science 3 (6): 419-423, 2007, ISSN 1549-3636.
10. Vapnik, V., 1998. Statistical Learning Theory. Wiley Publications, New York.
11. C. Huang, L. S. Davis, and J. R. G. Townshend, "An assessment of support vector machines for land cover classification," Int. J. Remote sensing, vol. 23, no. 4, pp. 725-749, 2002.
12. Pabitra Mitra , B. Uma Shankar, Sankar K. Pal, Pattern Recognition Letters 25 (2004) 1067-1074.
13. Gregoire Mercier and Marc Lennon, "Support Vector Machines for Hyperspectral Image Classification with Spectral-based kernels," IEEE Transactions 2003, 0-7803-7930-6.