Hyperspectral image classification based on Gabor features and decision fusion

2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017

Volumn , Issue , 2017, Pages 478-482

  Ye, Zhen ^a   Bai, Lin ^a   Tan, Lian ^a  

^a CHANG'AN UNIVERSITY   (China)

Author keywords

Classification; Decision fusion; Gabor features; Hyperspectral image

Indexed keywords

CLASSIFICATION (OF INFORMATION); FACTORIZATION; GAUSSIAN DISTRIBUTION; HYPERSPECTRAL IMAGING; IMAGE FUSION; MATRIX ALGEBRA; SPECTROSCOPY;

CLASSIFICATION ALGORITHM; COEFFICIENT CORRELATIONS; DECISION FUSION; GABOR FEATURE; GAUSSIAN MIXTURE MODEL CLASSIFIERS; NONNEGATIVE MATRIX FACTORIZATION; SPATIAL CHARACTERISTICS; STATE-OF-THE-ART METHODS;

IMAGE CLASSIFICATION;

EID: 85029395496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIVC.2017.7984602     Document Type: Conference Paper

References (15)

1. Z. Ye, S. Prasad, W. Li, J. E. Fowler, and M. He, "Classification based on 3-D DWT and decision fusion for hyperspectral image analysis, " IEEE Geoscience and Remote Sensing Letters, vol. II, pp. 173-177, 2014.
2. Q. Du, W. Zhu, H. Yang, and J. E. Fowler, "Segmented principal component analysis for parallel compression of hyperspectral imagery, " IEEE Geoscience and Remote Sensing Letters, vol. 6, pp. 713-717, 2009.
3. C. Li, H. Chu, B. Kuo, and C. T. Lin, "Hyperspectral image classification using spectral and spatial information based linear discriminant analysis, " in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, pp. 1716-1719, 2011.
4. M. Sugiyama, "Dimensionality reduction of multi modal labeled data by local Fisher discriminant analysis, " Journal of Machine Learning Research, vol. 8, pp. 1027-1061, 2007.
5. W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, "Locality-preserving dimensionality reduction and classification for hyperspectral image analysis, " IEEE Transactions on Geoscience and Remote Sensing, vol. 50, pp. 1185-1198, 2012.
6. B. Kuo, H. Ho, C. Li, and C. C. Hung, "A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification, " IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 317-326, 2014.
7. W. Li, S. Prasad, and J. E. Fowler, "Hyperspectral image classification using Gaussian mixture model and Markov random field, " IEEE Geoscience and Remote Sensing Letters, vol. II, pp. 153-157, 2014.
8. Y. Tarabalka, M. Fauvel, J. Chanussot, and J. A. Benediktsson, "SVM-and MRF-based method for accurate classification of hyperspectral images, " IEEE Geoscience and Remote Sensing Letters, vol. 7, pp. 736-740, 2010.
9. L. Z. Huo, and P. Tang, "Spectral and spatial classification of hyperspectral data using SVMs and Gabor texture ", in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada, 2011.
10. W. Li, and Q. Du, "Gabor-filtering-based nearest regularized subspace for hyperspectral image classification, " IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 1012-1022, 2014.
11. Z. Ye, L. Bai, and Y. Nian, "Decision Fusion for Hyperspectral Image Classification Based on Multiple Features and Localitypreserving Analysis ", European Journal of Remote Sensing, vol. 5, pp. 166-178, 2017.
12. D. Cai, X. He, X. Wang, H. Bao, and J. Han, "Locality preserving nonnegative matrix factorization, " in Proceedings of the International Joint Conference on Artifical Intelligence, Pasadena, California, USA, 2009.
13. S. Prasad, and L. M. Bruce, "Decision fusion with confidence-based weight assignment for hyperspectral target recognition, " IEEE Transactions on Geoscience and Remote Sensing, vo1. 46, pp. 1448-1456, 2008.
14. X. He, and P. Niyogi, "Locality preserving projections, " Advances in Neural Information Processing System, USA: MIT Press, 2004.
15. M. M. Dundar, and D. Landgrebe, "A model-based mixturesupervised classification approach in hyperspectral data analysis, " IEEE Transactions on Geoscience Remote Sensing, vol. 40, pp. 2692-2699, 2002.