多核融合多尺度特征的高光谱影像地物分类
王庆超, 付光远, 汪洪桥, 王超. 多核融合多尺度特征的高光谱影像地物分类[J]. 光学 精密工程, 2018, 26(4): 980.
WANG Qing-chao, FU Guang-yuan, WANG Hong-qiao, WANG Chao. Fusion of multi-scale feature using multiple kernel learning for hyperspectral image land cover classification[J]. Optics and Precision Engineering, 2018, 26(4): 980.
[1] 何芳, 王榕, 于强, 等. 加权空谱局部保持投影的高光谱图像特征提取[J]. 光学 精密工程, 2017, 25(1): 263-273.
[2] DELLACQUA F, GAMBA P, FERRARI A, et al.. Exploiting spectral and spatial information in hyperspectral urban data with high resolution[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(4): 322-326.
[3] YUAN H L, TANG Y Y, LU Y, et al.. Spectral-spatial classification of hyperspectral image based on discriminant analysis[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2035-2043.
[4] 黄鸿, 郑新磊. 加权空-谱与最近邻分类器相结合的高光谱图像分类[J]. 光学 精密工程, 2016, 24(4): 873-881.
[5] FU W, LI SH T, FANG L Y, et al.. Hyperspectral image classification via shape-adaptive joint sparse representation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(2): 556-567.
[6] 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.
[7] CHEN Y, NASRABADI N M, TRAN T D. Hyperspectral image classification via kernel sparse representation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(1): 217-231.
[8] LI SH SH, NI L, JIA X P, et al.. Multi-scale superpixel spectral-spatial classification of hyperspectral images[J]. International Journal of Remote Sensing, 2016, 37(20): 4905-4922.
[9] REININGHAUS J, HUBER S, BAUER U, et al.. A stable multi-scale kernel for topological machine learning[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2015: 4741-4748.
[10] 唐中奇, 付光远, 陈进, 等. 基于多尺度分割的高光谱图像稀疏表示与分类[J]. 光学 精密工程, 2015, 23(9): 2708-2714.
[11] YIN J, LIU ZH H, JIN ZH, et al.. Kernel sparse representation based classification[J]. Neurocomputing, 2012, 77(1): 120-128.
[12] CORTES C, MOHRI M, ROSTAMIZADEH A. Algorithms for learning kernels based on centered alignment[J]. The Journal of Machine Learning Research, 2012, 13(1): 795-828.
[13] HE ZH, LI J B. Multiple data-dependent kernel for classification of hyperspectral images[J]. Expert Systems with Applications, 2015, 42(3): 1118-1135.
王庆超, 付光远, 汪洪桥, 王超. 多核融合多尺度特征的高光谱影像地物分类[J]. 光学 精密工程, 2018, 26(4): 980. WANG Qing-chao, FU Guang-yuan, WANG Hong-qiao, WANG Chao. Fusion of multi-scale feature using multiple kernel learning for hyperspectral image land cover classification[J]. Optics and Precision Engineering, 2018, 26(4): 980.