[1]余旭初, 冯伍法, 林丽霞.高光谱-遥感测绘的新机遇[J].测绘科学技术学报, 2006, 23(2):101-105. [2]FARAG A, MOHAMED R, EL-BAZ A.A Unified Framework for Map Estimation in Remote Sensing Image Segmentation[J].IEEE Transactions Geoscience Remote Sensing, 2005, 43(7):1617-1643 [3]BOVOLO F, BRUZZONE L.A Context-Sensitive Technique Based on Support Vector Machine for Image classification [J]. Proc. PREMI, 2005:260-265. [4]TARABALKA Y, FAUVEL M, CHANUSSOT J, etal.SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images[J].IEEE Transactions Geoscience Remote Sensing Letters, 2010, 7(4):736-740 [5]ZHANG B, LI S S, JIA X P.Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery[J].IEEE Transactions Geoscience Remote Sensing Letters, 2011, 8(5):973-977 [6]FAUVEL M, CHANUSSOT J.Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles [J].IGARSS’07. Proceedings 2007 [7]吴昊.综合纹理特征的高光谱遥感图像分类方法[J].计算机工程与设计, 2012, 33(5):1993-1996 [8]汪洪桥, 孙富春, 蔡艳宁, 等.多核学习方法[J].自动化学报, 2010, 36(8), 1037-105. [9]LANCKRIET G, CRISTIANINI N, GHAOUI L E, etal.Learning the kernel matrix with semi-definite programming [J]. Journal of Machine Learning Research, 2004, 5:27–72. [10]BACH F.Consistency of the group Lasso and multiple kernel learning [J]. Journal of Machine Learning Research, 2008, 9:1179–1225. [11]SONNENBURG S, RATSCH G, SCHAFER C, etal.Large scale multiple kernel learning [J]. Journal of Machine Learning Research, 2006 7(1):1531–1565. [12]RAKOTOMAMONJY A, BACH F, CANU S, etal.SimpleMKL [J] Journal of Machine Learning Research, 2008: 1-34. [13]尚坤, 李培军, 程涛.基于合成核支持向量机的高光谱土地覆盖分类[J].北京大学学报（自然科学版）, 2011 47(1):109-114. [14]GU Y F, WANG C, YOU D, etal.Representative Multiple Kernel Learning for Classification in Hyperspectral Imagery[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012. 50(7):2852-2865. [15]马莉, 范影乐.纹理图像分析[M]. 北京：科学出版社. 2009: 45-46.