[1] |
Shaw G, Manolakis D. Signal processing for hyperspectral image exploitation. Signal Processing Magazine, 2002, 19(1): 12-16 |
[2] |
He Lin, Pan Quan, Di Wei, Li Yuan-Qing. Supervised detection for hyperspectral imagery based on high-dimensional multiscale autoregression. Acta Automatica Sinica, 2009, 35(5): 509-518(贺霖, 潘泉, 邸韡, 李远清. 高光谱图像高维多尺度自回归有监督检测. 自动化学报, 2009, 35(5): 509-518) |
[3] |
Wang Yan-Qing, Ma Lei, Tian Yuan. State-of-the-art of ship detection and recognition in optical remotely sensed imagery. Acta Automatica Sinica, 2011, 37(9): 1029-1039(王彦情, 马雷, 田原. 光学遥感图像舰船目标检测与识别综述. 自动化学报, 2011, 37(9): 1029-1039) |
[4] |
Su Juan, Wang Gui-Jin, Lin Xing-Gang, Liu Dai-Zhi. A change detection algorithm for man-made objects based on multi-temporal remote sensing images. Acta Automatica Sinica, 2008, 34(9): 1040-1046(苏娟, 王贵锦, 林行刚, 刘代志. 基于多时相遥感图像的人造目标变化检测算法. 自动化学报, 2008, 34(9): 1040-1046) |
[5] |
[5] Hughes G. On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory, 1968, 14(1): 55-63 |
[6] |
Zhang Xue-Gong. Introduction to statistical learning theory and support vector machines. Acta Automatica Sinica, 2000, 26(1): 32-42(张学工. 关于统计学习理论与支持向量机. 自动化学报, 2000, 26(1): 32-42) |
[7] |
[7] Camps-Valls G, Gomez-Chova L, Munoz-Mari J, Vila-Frances J, Calpe-Maravilla J. Composite kernels for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2006, 3(1): 93-97 |
[8] |
[8] Gurram P, Heesung K. Contextual SVM using Hilbert space embedding for hyperspectral classification. IEEE Geoscience and Remote Sensing Letters, 2013, 10(5): 1031-1035 |
[9] |
[9] Fauvel M, Benediktsson J A, Chanussot J, Sveinsson J R. Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3804-3814 |
[10] |
Tarabalka Y, Fauvel M, Chanussot J, Benediktsson J A. SVM- and MRF-based method for accurate classification of hyperspectral images. IEEE Geoscience and Remote Sensing Letters, 2010, 7(4): 736-740 |
[11] |
Tan Kun, Du Pei-Jun, Wang Xiao-Mei. Impacts of feature dimensionality to the support vector machine classifier for hyperspectral remote sensing image. Science of Surveying and Mapping, 2011, 36(1): 55-57(谭琨, 杜培军, 王小美. 特征维数对支持向量机分类器性能影响的研究. 测绘科学, 2011, 36(1): 55-57) |
[12] |
Chen Hong-Da, Pu Han-Ye, Wang Bin, Zhang Li-Ming. Image Euclidean distance-based manifold dimensionality reduction algorithm for hyperspectral imagery. Journal of Infrared and Millimeter Waves, 2013, 32(5): 450-455(陈宏达, 普晗哗, 王斌, 张立明. 基于图像欧氏距离的高光谱图像流形降维算法. 红外与毫米波学报, 2013, 32(5): 450-455) |
[13] |
Kuo B C, Landgrebe D A. Nonparametric weighted feature extraction for classification. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(5): 1096-1105 |
[14] |
Chang Y L, Liu J N, Han C C, Chen Y N. Hyperspectral image classification using nearest feature line embedding approach. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 278-287 |
[15] |
Li W, Prasad S, Fowler J E, Bruce L M. Locality-preserving dimensionality reduction and classification for hyperspectral image analysis. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(4): 1185-1198 |
[16] |
Shi Q, Hang L P, Du B. Semisupervised discriminative locally enhanced alignment for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(9): 4800-4815 |
[17] |
Ly N H, Du Q, Fowler J E. Sparse graph-based discriminant analysis for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 52(7): 3872-3884 |
[18] |
Fauvel M, Tarabalka Y, Benediktsson J A, Chanussot J, Tilton J C. Advances in spectral-spatial classification of hyperspectral images. Proceedings of the IEEE, 2013, 101(3): 652-675 |
[19] |
Gao Xiao-Jian, Guo Bao-Feng, Yu Ping. Classification of hyperspectral remote sensing image based on spatial-spectral integration. Laser and Infrared, 2013, 43(11): 1296-1300(高晓建, 郭宝峰, 于平. 高光谱空谱一体化图像分类研究. 激光与红外, 2013, 43(11): 1296-1300) |
[20] |
Gao Heng-Zhen, Wan Jian-Wei, Wang Li-Bao, Xu Zhan. Research on classification technique for hyperspectral imagery based on spectral-spatial composite kernels. Signal Processing, 2011, 27(5): 648-652(高恒振, 万建伟, 王力宝, 徐湛. 基于谱域--空域组合核函数的高光谱图像分类技术研究. 信号处理, 2011, 27(5): 648-652) |
[21] |
Qian Y T, Ye M C, Zhou J. Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(4): 2276-2291 |
[22] |
Tarabalka Y, Benediktsson J A, Chanussot J. Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(8): 2973-2987 |
[23] |
Bai J, Xiang S M, Pan C H. A graph-based classification method for hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 803-817 |
[24] |
Gustavo C V, Shervashidze N, Borgwardt K M. Spatio-spectral remote sensing image classification with graph kernels. IEEE Geoscience and Remote Sensing Letters, 2010, 7(4): 741-745 |
[25] |
Li W, Tramel E W, Prasad S, Fowler J E. Nearest regularized subspace for hyperspectral classification. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 477 -489 |
[26] |
Tomasi C, Manduchi R. Bilateral filtering for gray and color images. In: Proceedings of the 6th International Conference on Computer Vision. Bombay, India: IEEE, 1998. 839-846 |
[27] |
Cristianini N, John S T. An Introduction to Support Vector Machines: and Other Kernel-Based Learning Methods. Cambridge: Cambridge University Press, 2000. |
[28] |
Tadjudin S, Landgrebe D A. Covariance estimation with limited training samples. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(4): 2113-2118 |
[29] |
Richards J A, Jia X. Remote Sensing Digital Image Analysis: An Introduction. New York: Springer-Verlag, 2006. |
[30] |
Ye J. Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. Journal of Machine Learning Research, 2005, 6(4): 483-502 |
[31] |
Bandos T V, Bruzzone L, Camps-Valls G. Classification of hyperspectral images with regularized linear discriminant analysis. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(3): 862-873 |
[32] |
Sugiyama M. Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. Journal of Machine Learning Research, 2007, 8(5): 1027-1061 |