[1] Vapnik V.The Nature of Statistical Learning Theory[M].New York:Springer-Verlag,1995.
[2] Hu F Y, Zhang Y N, Xue X R,etal.A Classification Methodfor SAR Image Based on Tree Wavelet and Gray-level CoOccurance Matrix [J]. Systems Engineering and Electronics.2003,25(10):1286-1288.[胡伏原,张艳宁,薛笑荣,等.基于树型小波和灰度共生矩阵的SAR图像分类[J].系统工程与电子技术,2003,25(10):1286-1288.]
[3] Li Y, Ruan Q Q.Texture Classification by Support VectorMachines[J].Journal on Communications,2005,26(1):114-119.[李毅,阮秋琦.应用支持向量机的纹理分类[J].通信学报,2005,26(1):114-119.]
[4] Bo H,Ma F L,Jiao L C.Research on Computation of GLCMof Image Texture[J].Acta Electronica Sinica,2006,34(1):55-59.[薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):55-159.]
[5] Zhang S Y,Zhao Y M,Li J L.Algorithm and Implementationof Image Classification Based on SVM[J].Computer Engineering and Applications,2007,43(25):40-42[张淑雅,赵一鸣,李均利.基于SVM的图像分类算法与实现[J].计算机工程与应用,2007,43(25):40-42.]
[6] Wang L S,Ou Z Y, Zhu Y C,et al.Classifying Images withSVM Method[J] Computer Applications and Software,2005,22(5):98-100.[王亮申,欧宗瑛,朱玉才,等.基于SVM的图像分类[J].计算机应用与软件,2005,22(5):98-100.]
[7] Xin X H,Guo J X,Xie Z,et al.A Method of Classification forTexture Images Based on Support Vector Machine [ J].
Hydrolic Surveying and Charting,2005,25(2):41-43.[辛宪会,郭建星,解志,等.一种基于支持向量机的纹理图像分类法[J].海洋测绘,2005,25(2):41-43.]
[8] Feng J H, Yang Y J. Study of Texture Images ExtractionBased on Gray Level Co-Occurence Matrix[J].Beijing Surveying and Mapping,2007,3:19-22.[冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像研究[J].北京测绘,2007,3:19-22.]
[9] Haralick R M.Statistical and Structural Approaches to Texture[J].Proceeding of IEEE,1957,67(5):786-804.
[10] Ban Y,Treitz P M,Howarth P J,etal.Improving the Accuracy of Synthetic Aperture Radar Analysis for Agricultural
Crop Classification[J].Canadian Journal of Remote Sensing,1995,21(2):158-165.
[11] Fang S H,Zhu W.Classification of SAR Using Muti-polarmetric and Texture Image[J].Bulletin of Surveying and Mapping,2001,10:12-14.[方圣辉,朱武.辅以纹理特征的SAR图像分类研究[J].测绘通报,2001,10:12-14.] |