The determination of parameters for texture analysis is crucial to remote sensing image classification. In this paper, the Hongze Lake wetlands were taken as the study area and the texture was calculated based on gray level co-occurrence matrix. The effect of the window size, moving step and direction in computing texture upon the separability of freshwater lake wetlands was discussed. The classification of wetlands was carried out based on decision tree classification by using texture and spectral features. The classification accuracy was assessed based on error matrix. It is shown that the parameters of 3 pixel ×3 pixel in the direction of 90° are the optimal ones. Mean, entropy, correlation are used for the classification of wetlands in the study area. The classification accuracy is 83.24% with Kappa of 0.788. The results show that the effect of texture parameters upon the classification of freshwater lake wetlands is significant.
[1] Haralick R M.Statistical and structural approaches to texture[J].Proceedings of the IEEE,1979,67(5):786-804.[2] 刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(4):622-635. Liu L,Kuang G Y.Overview of image textural feature extraction methods[J].Journal of Image and Graphics,2009,14(4):622-635.[3] Zhang Y.Optimisation of building detection in satellite images by combining multispectral classification and texture filtering[J].ISPRS Journal of Photogrammetry and Remote Sensing,1999,54(1):50-60.[4] Haralick R M,Shanmugam K,Dinstein I H.Textural features for image classification[J].IEEE Transactions on Systems,Man and Cybernetics,1973,SMC-3(6):610-621.[5] Murray H,Lucieer A,Williams R.Texture-based classification of sub-Antarctic vegetation communities on Heard Island[J].International Journal of Applied Earth Observation and Geoinformation,2010,12(3):138-149.[6] 张砾.辅以纹理特征的洪泽湖湿地信息提取[J].遥感信息,2010(3):30-34. Zhang L.Wetland information extraction combined with texture features[J].Remote Sensing Information,2010(3):30-34.[7] 黄艳,张超,苏伟,等.合理尺度纹理分析遥感影像分类方法研究[J].国土资源遥感,2008,20(4):14-17. Huang Y,Zhang C,Su W,et al.A study of the optimal scale texture analysis for remote sensing image classification[J].Remote Sensing for Land and Resources,2008,20(4):14-17.[8] 侯群群,王飞,严丽.基于灰度共生矩阵的彩色遥感图像纹理特征提取[J].国土资源遥感,2013,25(4):26-32. Hou Q Q,Wang F,Yan L.Extraction of color image texture feature based on gray-level co-occurrence matrix[J].Remote Sensing for Land and Resources,2013,25(4):26-32.[9] 阮仁宗,夏双,陈远,等.1979—2006年洪泽湖西岸临淮镇附近湖泊变化研究[J].湿地科学,2012,10(3):344-349. Ruan R Z,Xia S,Chen Y,et al.Change of lake nearby Linhuai Town in west bank of Hongze Lake during 1979-2006[J].Wetland Science,2012,10(3):344-349.[10] 叶新霞,翟高勇,张炜.洪泽湖湖泊保护规划研究[J].水利科技与经济,2012,18(7):25-27,29. Ye X X,Zhai G Y,Zhang W.Research of the protection project of the Hongze River[J].Water Conservancy Science and Technology and Economy,2012,18(7):25-27,29.[11] 杨士建.洪泽湖湿地资源保护与可持续利用研究[J].重庆环境科学,2003,25(2):15-17. Yang S J.Study an protection and sustainable use of wetland around Hongze Lake[J].Chongqing Environmental Science,2003,25(2):15-17.[12] 姜青香,刘慧平,孔令彦.纹理分析方法在TM图像信息提取中的应用[J].遥感信息,2003(4):24-27. Jiang Q X,Liu H P,Kong L Y.The application of texture analysis in TM image information extraction[J].Remote Sensing Information,2003(4):24-27.[13] 宋杨,万幼川,陈鹏.基于GLCM的纹理特征量在TM6热红外波段影像信息分析中的研究[J].遥感信息,2006(4):24-26. Song Y,Wan Y C,Chen P.Textural features analysis based on GLCM in TM thermal infrared remotely sensed images[J].Remote Sensing Information,2006(4):24-26.[14] Rodriguez-Galiano V F,Chica-Olmo M,Abarca-Hernandez F,et al.Random forest classification of mediterranean land cover using multi-seasonal imagery and multi-seasonal texture[J].Remote Sensing of Environment,2012,121:93-107.[15] 马娜,胡云锋,庄大方,等.基于最佳波段指数和J-M距离可分性的高光谱数据最佳波段组合选取研究——以环境小卫星高光谱数据在东莞市的应用为例[J].遥感技术与应用,2010,25(3):358-365. Ma N,Hu Y F,Zhuang D F,et al.Determination on the optimum band combination of HJ-1A hyperspectral data in the case region of Dongguan based on optimum index factor and J-M distance[J].Remote Sensing Technology and Application,2010,25(3):358-365.[16] Theodoridis S,Koutroumbas K.Pattern Recognition[M].Beijing:China Machine Press,2003.[17] 魏铼,胡卓玮.基于合成孔径雷达影像的海洋溢油纹理特征参数分析[J].海洋学报,2013,35(1):94-103. Wei L,Hu Z W.Parameter analysis of texture feature in oil spill detection based on SAR[J].Acta Oceanologica Sinica,2013,35(1):94-103.[18] 李慧,余明.基于决策树模型的湿地信息挖掘与结果分析[J].地理信息科学,2007,9(2):60-64,73. Li H,Yu M.Wetland information extraction based on decision tree model[J].Geo-Information Science,2007,9(2):60-64,73.[19] 那晓东,张树清,孔博,等.基于决策树方法的淡水沼泽湿地信息提取——以三江平原东北部为例[J].遥感技术与应用,2008,23(4):365-372. Na X D,Zhang S Q,Kong B,et al.The extraction of freshwater marsh wetland information based on decision tree algorithm:A case study in the northeast of the Sanjiang Plain[J].Remote Sensing Technology and Application,2008,23(4):365-372.