[1] 唐意东,黄树彩,薛爱军.面向目标检测基于稀疏表示的波段选择方法[J].电子学报,2017,45(10):2368-2374. TANG Yi-dong,HUANG Shu-cai,XUE Ai-jun.Sparserepresentation based band selection for hyperspectral imagery target detection[J].Acta Electronica Sinica,2017,45(10):2368-2374.(in Chinese)
[2] 徐金环,沈煜,刘鹏飞,肖亮.联合核稀疏多元逻辑回归和TV-L1错误剔除的高光谱图像分类算法[J].电子学报,2018,46(1):175-184. XU Jin-huan,SHEN Yu,LIU Peng-fei,XIAO Liang.Hyperspectralimage classification combining kernel sparse multinomial logistic regression and TV-L1 Error rejection[J].Acta Electronica Sinica,2018,46(1):175-184.(in Chinese)
[3] 陈雷,郭艳菊,葛宝臻.基于微分搜索的高光谱图像非线性解混算法[J].电子学报,2017,45(2):337-345. CHEN Lei,GUO Yan-ju,GE Bao-zhen.Nonlinearunmixing of hyperspectral images based on differential search algorithm[J].Acta Electronica Sinica,2017,45(2):337-345.(in Chinese)
[4] 张号逵,李映,姜晔楠.深度学习在高光谱图像分类领域的研究现状与展望[J].自动化学报,2018,44(6):961-977. ZHANG Hao-kui,LI Ying,JIANG Ye-nan.Deep Learning for Hyperspectral Imagery Classification:The State of the Art and Prospects[J].Acta Automatica Sinica,2018,44(6):961-977.(in Chinese)
[5] Licciardi G,Marpu P R,Chanussot J,et al.Linearversus nonlinear pca for the classification of hyperspectral data based on the extended morphological profiles[J].IEEE Geoscience and Remote Sensing Letters,2012,9(3):447-451.
[6] Fauvel M,Chanussot J,Benediktsson J A.Kernel principal component analysis for the classification of hyperspectral remote sensing data over urban areas[J].Eurasip Journal on Advances in Signal Processing,2009,2009(1):783194.
[7] Bandos TV,Bruzzone L,Camps-Valls G.Classification of hyperspectral images with regularized linear discriminant analysis[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(3):862-873.
[8] Peng J,Luo T.Sparse matrix transform-based linear discriminant analysis for hyperspectral image classification[J].Signal Image and Video Processing,2016,10(4):761-768.
[9] Gu Y,Wang C,You D,et al.Representative multiple kernel learning for classification in hyperspectral imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(7):2852-2865.
[10] Cui M,Prasad S.Class-dependent sparse representation classifier for robust hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(5):2683-2695.
[11] Chen Y,Nasrabadi N M,Tran T D.Hyperspectral image classification using dictionary-based sparse representation[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(10):3973-3985.
[12] Fauvel M,Tarabalka Y,Benediktsson J A,et al.Advances in spectral-spatial classification of hyperspectral images[J].Proceedings of the IEEE,2013,101(3):652-675.
[13] Chen C,Li W,Su H,et al.Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine[J].Remote Sensing,2014,6(6):5795-5814.
[14] Li W,Prasad S,Fowler J E.Hyperspectral image classification using gaussian mixture models and Markov random fields[J].IEEE Geoscience and Remote Sensing Letters,2013,11(1):153-157.
[15] Li H,Ye Z,Xiao G.Hyperspectral image classification using spectral-spatial composite kernels discriminant analysis[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2341-2350.
[16] Gurram P,Kwon H.Contextual SVMusing hilbert space embedding for hyperspectral classification[J].IEEE Geoscience and Remote Sensing Letters,2013,10(5):1031-1035.
[17] Tarabalka Y,Benediktsson J A,Chanussot J.Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(8):2973-2987.
[18] Cao X,Xu L,Meng D,et al.Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification[J].Neurocomputing,2017,226:90-100.
[19] Xu Y,Wu Z,Wei Z.Spectral-spatial classification of hyperspectral image based on low-rank decomposition[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2370-2380.
[20] Soltani-Farani A,Rabiee H R,Hosseini S A.Spatial-aware dictionary learning for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2013,53(1):527-541.
[21] Makantasis K,Karantzalos K,Doulamis A D,et al.Deep supervised learning for hyperspectral data classification through convolutional neural networks[A].IEEE International Geoscience and Remote Sensing Symposium[C].US:IEEE,2015.4959-4962.
[22] Yue J,Zhao W,Mao S,et al.Spectral-spatial classification of hyperspectral images using deep convolutional neural networks[J].Remote Sensing Letters,2015,6(6):468-477.
[23] Chen Y,Zhao X,Jia X,et al.Spectral-spatial classification of hyperspectral data based on deep belief network[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2381-2392
[24] Chen Y,Lin Z,Zhao X,et al.Deep learning-based classification of hyperspectral data[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017,7(6):2094-2107.
[25] Huang G,Liu Z,Maaten L V D,et al.Densely connected convolutional networks[A].IEEE Conference on Computer Vision and Pattern Recognition[C].US:IEEE,2017.2261-2269.
[26] Wang W,Dou S,Jiang Z,et al.A fast dense spectral-spatial convolution network framework for hyperspectral images classification[J].Remote Sensing,2018,10(7):1068.
[27] Zhong Z,Li J,Luo Z,et al.Spectral-spatial residual network for hyperspectral image classification:a 3-D deep learning framework[J].IEEE Transactions on Geoscience and Remote Sensing,2017,56(2):847-858.
[28] Fernandez-Redondo M,Hernandezespinosa C,Torressospedra J,et al.Hyperspectral image classification by ensembles of multilayer feedforward networks[A].IEEE International Symposium on Neural Networks[C].US:IEEE,2004.1145-1149.
[29] Hu W,Huang Y,Wei L,et al.Deep convolutional neural networks for hyperspectral image classification[J].Journal of Sensors,2015,2015(2):1-12.
[30] Li Y,Zhang H,Shen Q,et al.Spectral-spatial classification of hyperspectral imagery with 3d convolutional neural network[J].Remote Sensing,2017,9(1):67.
[31] Zhang H,Li Y,Zhang Y,et al.Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network[J].Remote Sensing Letters,2017,8(5):438-447.
[32] Chen C,Zhang J J,Zheng C H,et al.Classification of hyperspectral data using a multi-channel convolutional neural network[A].International Conference on Intelligent Computing[C].Cham:Springer,2018.81-92.
[33] He K,Zhang X,Ren S,et al.Deep residual learning for image recognition[A].IEEE Conference on Computer Vision and Pattern Recognition[C].US:IEEE,2016.770-778.
[34] Ioffe S,Szegedy C.Batch normalization:accelerating deep network training by reducing internal covariate shift[A].International Conference on Machine Learning[C].US:DBLP,2015.448-456. |