[1] 童庆禧,张兵,郑兰芬.高光谱遥感-原理、技术与应用[M]. 北京:高等教育出版社,2006. Tong Qingxi,Zhang Bing,Zheng Lanfen.Hyperspectral Remote Sensing[M]. Beijing:Higher Education Press,2006.(in Chinese)
[2] 吴泽彬,韦志辉,孙乐,刘建军.基于迭代加权L1正则化的高光谱混合像元分解[J]. 南京理工大学学报,2011,35(4):431-435. Wu Zebin,Wei Zhihui,Sun Le,Liu Jian-jun.Hyperspectral unmixing based on iterative weighted L1 regularization[J]. Journal of Nanjing University of Science and Technology,2011,35(4):431-435.(in Chinese)
[3] 宋相法,焦李成.基于稀疏表示及光谱信息的高光谱遥感图像分类[J]. 电子与信息学报,2012,34(2):268-272. Song Xiangfa,Jiao Licheng.Classification of hyperspectral remote sensing image based on sparse representation and spectral information[J]. Journal of Electronics and Information Technology,2012,34(2):268-272.(in Chinese)
[4] 刘建军,吴泽彬,韦志辉,肖亮,孙乐.基于约束非负矩阵分解的高光谱图像解混快速算法[J]. 电子学报,2013,41(3):432-437. Liu Jianjun,Wu Zebin,Wei Zhihui,Xiao Liang,Sun Le.A fast algorithm for hyperspectral unmixing based on constrained nonnegative matrix factorization[J]. Acta Electronica Sinica,2013,41(3):432-437.(in Chinese)
[5] Melgani F,Bruzzone L.Classification of hyperspectral remote sensing images with support vector machines[J]. IEEE Trans Geosci Remote Sensing,2011,42(8):1778-1790.
[6] Fauvel M,Benediktsson J,et al.Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles[J]. IEEE Trans Geosci Remote Sensing,2008,46(11):3804-3814.
[7] Li Jun,Bioucas-Dias J,Plaza A.Spectral-spatial classification of hyperspectral data using loopy belief propagation and active learning[J]. IEEE Trans Geosci Remote Sensing,2013,51(2):844-856.
[8] Li Jun,Bioucas-Dias J,Plaza A.Semi-supervised hyperspectral image segmentation using multinomial logistic regression with active learning[J]. IEEE Trans Geosci Remote Sensing,2010,48(11):4085-4098.
[9] Li Jun,Bioucas-Dias J,Plaza A.Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields[J]. IEEE Trans Geosci Remote Sensing,2012,50(3):809-823.
[10] Yi Chen,Nasrabadi N M,Tran D.Hyperspectral image classification using dictionary-based sparse representation[J]. IEEE Trans Geosci Remote Sensing,2011,49(10):3973-3985.
[11] Plaza A,Benediktsson A,et al.Recent advances in techniques for hyperspectral image processing[J]. Remote Sensing of Environment,2009,113:S110-S122.
[12] Camps-Valls G,GomeZ-Chova L,et al.Composite kernels for hyperspectral image classification[J]. IEEE Trans Geosci Remote Sensing Lett,2006,3(1):93-97.
[13] Tarabalka Y,Benedikstsson J A,Chanussot J.Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques[J]. IEEE Trans Geosci Remote Sensing,2009,47(8):2973-2987.
[14] Mauro D M,Alberto V,et al.Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis[J]. IEEE Trans Geosci Remote Sensing Lett,2011,8(3):542-546.
[15] Sun Le,Wu Zebin,et al.A novel supervised method for hyperspectral image classification with spectral-spatial constraints[J]. Chinese Journal of Electronics,2014,23(1):135-141.
[16] Le Sun,Zebin Wu,et al.Supervised spectral-spatial hyperspectral image classification with weighted Markov random fields[J]. IEEE Trans Geosci Remote Sensing,2015,53(3):1490-1503.
[17] Tarabalka Y,Benediktsson J,et al.Multiple spectral-spatial classification approach for hyperspectral data[J]. IEEE Trans Geosci Remote Sensing,2010,48(11):4122-4132.
[18] XiaJunshi,Du Peijun,He Xiyan.MRF-based multiple classifier system for hyperspectral remote sensing image classification[J]. Multiple Classifier Systems,2013,7872:343-351.
[19] Bigdeli B,Samadzadegan F,Reinartz P.A multiple SVM system for classification of Hyperspectral remote sensing data[J]. Journal of the Indian Society of Remote Sensing,2013,41(4):763-776.
[20] Khodadadzadeh M,Li Jun,et al.Spectral-spatial classification of hyperspectral data using local and global probabilities for mixed pixel characterization[J]. IEEE Trans Geosci Remote Sensing,2014,52(10):6298-6314.
[21] Boykov Y,Kolmogorov V.An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J]. IEEE Trans on PAMI,2004,26(9):1124-1137. |