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洪泽湖湿地纹理特征参数分析

DOI: 10.6046/gtzyyg.2015.01.12, PP. 75-80

Keywords: 洪泽湖湿地,纹理特征,窗口尺寸,移动步长和方向,灰度共生矩阵

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Abstract:

应用纹理特征进行影像分类,关键在于纹理特征参数的确定。以洪泽湖湿地典型地区为研究对象,选择灰度共生矩阵进行纹理特征计算,探讨灰度共生矩阵窗口尺寸、移动步长、方向和纹理特征统计量对淡水湖泊湿地的区分能力;然后,利用纹理特征和地物光谱特征,结合决策树方法对研究区湿地及其他主要地类进行分类,并通过混淆矩阵进行精度评价。结果表明:研究区湿地分类中纹理特征的最佳窗口大小为3像元×3像元,方向为90°,步长为1个像元,纹理特征统计量组合为均值、熵和相关度;分类精度为83.24%,Kappa为0.788,其结果验证了纹理特征参数选择的科学性和合理性。

References

[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.

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