Acta Optica Sinica, Volume. 36, Issue 10, 1028003(2016)
Hyperspectral Image Classification Algorithm Based on Gabor Feature and Locality-Preserving Dimensionality Reduction
[1] [1] Ye Z, Prasad S, Li W, et al. Classification based on 3D DWT and decision fusion for hyperspectral image analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 173-177.
[2] [2] Liu Dawei, Han Ling, Han Xiaoyong, High spatial resolution remote densing image classification based on deep learning [J]. Acta Optica Sinica, 2016, 36(4): 0428001.
[3] [3] Li Zhimin, Zhang Jie, Huang Hong, et al. Semi-supervised laplace discriminant embedding for hyperspectral image classification[J]. Journal of Electronics & Information Technology, 2015, 37(4): 995-1001.
[4] [4] Li C, Chu H, Kuo B, et al. Hyperspectral image classification using spectral and spatial information based linear discriminant analysis[C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2011: 1716-1719.
[5] [5] Tadjudin S, Landgrebe D A. Robust parameter estimation for mixture model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(1): 439-445.
[6] [6] Sugiyama M. Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis[J]. Journal of Machine Learning Research, 2007, 8(5): 1027-1061.
[7] [7] Lin Yu′e, Li Jingzhao, Liang Xingzhu, et al. Direct orthogonal discriminant locality preserving projections method[J]. Journal of Optoelectronics · Laser, 2012, 23(3): 561-565.
[8] [8] Li W, Prasad S, Fowler J E, et al. Locality-preserving dimensionality reduction and classification for hyperspectral image analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(4): 1185-1198.
[9] [9] Berge A, Solberg A H S. Structured Gaussian components for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(11): 3386-3396.
[10] [10] Ye Z, He M, Fowler J E, et al. Hyperspectral image classification based on spectra derivative features and locality preserving analysis[C]. 2nd IEEE China Summit & International Conference on Signal and Information Processing, 2014: 138-142.
[11] [11] Cai D, He X, Wang X, et al. Locality preserving nonnegative matrix factorization[C]. International Joint Conference on Artificial Intelligence, 2009: 1010-1015.
[12] [12] Lee D D, Seung H S. Learning the parts of objects by non-negative matrix factorization[J]. Nature, 1999, 401(6755): 788-791.
[13] [13] Jia S, Zhu Z, Shen L, et al. A two-stage feature selection framework for hyperspectral image classification using few labeled samples[J]. IEEE Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4): 1023-1035.
[14] [14] Clausi D A, Jernigan M E. Designing Gabor-filters for optimal texture separability[J]. Pattern Recognition, 2000, 33(11): 1835-1849.
[15] [15] Dundar M M, Landgrebe D. A model-based mixture-supervised classification approach in hyperspectral data analysis[J]. IEEE Transactions on Geoscience Remote Sensing, 2002, 40(12): 2692-2699.
[16] [16] Vlassis N, Likas A. A greedy EM algorithm for Gaussian mixture learning[J]. Neural Processing Letters, 2002, 15(1): 77-87.
[17] [17] Fan Liheng, Lü Junwei, Deng Jiangsheng. Classification of hyperspectral remote sensing images based on bands grouping and classification ensembles [J]. Acta Optica Sinica, 2014, 34(9): 091002.
[18] [18] Wang Shutao, Zeng Qiuju, Song Haobing, et al. Signal denoising method based on the SVM filter absorption methane detection[J]. Chinese J Lasers, 2014, 41(9): 0915001.
[19] [19] Pu H Y, Chen Z, Wang B, et al. A novel spatial-spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7008-7022.
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Ye Zhen, Bai Lin, Nian Yongjian. Hyperspectral Image Classification Algorithm Based on Gabor Feature and Locality-Preserving Dimensionality Reduction[J]. Acta Optica Sinica, 2016, 36(10): 1028003
Category: Remote Sensing and Sensors
Received: Apr. 21, 2016
Accepted: --
Published Online: Oct. 12, 2016
The Author Email: Zhen Ye (yezhen525@126.com)