遥感技术与应用 2016, Vol. 31 Issue (1): 194-202 DOI: 10.11873/j.issn.1004-0323.2016.1.0194 |
数据与图像处理 |
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联合快舟一号影像纹理信息的城市土地覆盖分类 |
潘一凡,张显峰,于泓峰,饶俊峰 |
(北京大学遥感与地理信息系统研究所,北京100871) |
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Land Cover Classification in Shihezi City by Combing the KZ-1 Texture and Landsat-8 OLI Spectral Information |
[1]Li Zhifeng,Zhu Guchang,Dong Taifeng.Application of GLCM-based Texture Features to Remote Sensing Image Classification[J].Geology and Exploration,2011,47(3):456-461.[李智峰,朱谷昌,董泰锋.基于灰度共生矩阵的图像纹理特征地物分类应用[J].地质与勘探,2011,47(03):456-461.][2]Mller-Jensen L.Methods for Texture-based Classification of Urban Fringe Areas from Medium and High Resolution Satellite Imagery[M].Dordrecht:In Spatial Inequalities,J.R.Weeks,A.G.Hill,J.Stoler,Editors,Springer Netherlands,2013:73-86.[3]Zhang Q,Wang J,Gong P,et al.Study of Urban Spatial Patterns from SPOT Panchromatic Imagery Using Textural Analysis[J].International Journal of Remote Sensing,2003,24(21):4137-4160.[4]Pesaresi M.Texture Analysis for Urban Pattern Recognition Using Fine-resolution Panchromatic Satellite Imagery[J].Geographical & Environmental Modelling,2000,4(1):43-63.[5]Agüera F,Aguilar F J,Aguilar M A.Using Texture Analysis to Improve Per-pixel Classification of Very High Resolution Images for Mapping Plastic Greenhouses[J].ISPRS Journal of Photogrammetry and Remote Sensing,2008,63(6):635-646.[6]Wu Lulu,Cao Menglei,Li Yi,et al.Research on Building Type Recognition based on Texture Analysis[C]//Wuhan Institute of Technology.Proceedings of 2010 International Conference on Remote Sensing (ICRS2010) Volume 4.Hangzhou China:Wuhan Institute of Technology,2010:4.[吴露露,曹孟磊,李毅,等.基于纹理分析的城市建筑物类型识别分析与研究[C]//武汉工程大学学报研究会.2010年国际遥感会议论文集(4).杭州:武汉工程大学,2010:4.][7]Peng Guangxiong,Li Jing,He Yuhua,et al.Extracting Land Cover Information from CBERS-2’s CCD Image Using Texture Analysis[J].Remote Sensing Technology and Application.2007,22(01):8-13.[彭光雄,李京,何宇华,等.利用纹理分析方法提取CBERS02星CCD图像土地覆盖信息[J].遥感技术与应用,2007,22(01):8-13.][8]Puissant A,Hirsch J,Weber C.The Utility of Texture Analysis to Improve Per-pixel Classification for High to Very High Spatial Resolution Imagery[J].International Journal of Remote Sensing,2005,26(4):733-745.[9]Huang Yan,Zhang Chao,Su Wei,et al.A Study of Optimal Scale Texture Analysis for Remote Sensing Image Classification[J].Remote Sensing for Land &Resources,2008,78(4):14-17,105,109.[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,2008,78(4):14-17,105,109.][10]Bao Haiying,Li Yan,Zhao Ping.The Research of Object2oriented Classif ication Method in Remote Sensing Image with Texture Analysis——Taking Yangling County of Shanxi Province as an Example[J].Remote Sensing Information,2009,(4):33-37.[鲍海英,李艳,赵萍.辅以纹理特征的面向对象的遥感影像分类方法研究——以陕西省杨陵县为例[J].遥感信息,2009,(4):33-37.][11]Wang Haijun,Le Chengfeng.Extraction of Paddy Field Using Objects-Oriented Fuzzy Classification Approach based on Texture Characteristic[J].Geography and Geo-information Science,2008,24(5):40-43.[王海君,乐成峰.应用基于纹理的面向对象分类模糊方法提取水田信息[J].地理与地理信息科学,2008,24(5):40-43.][12]National Remote Sensing Center of China.Introduction of KZ-1[EB/OL].http://www.nrscc.gov.cn/nrscc/kzyh/index.html.2014-8-14.[国家遥感中心.快舟一号卫星简介[EB/OL].http://www.nrscc.gov.cn/nrscc/kzyh/index.html.2014-8-14.][13]Baidu Wikipedia.Introduction of Landsat-8 Parameter[EB/OL].http://baike.baidu.com/view/10102539.htm?fr=aladdin.2014-6-27.[百度百科.Landsatt-8卫星参数简介[EB/OL].http://baike.baidu.com/view/10102539.htm?fr=aladdin.2014-6-27.][14]Zhu Junjie,Du Xiaoping,Fan Xiangtao,et al.A Advanced Multi-scale Fractal Net Evolution Approach[J].Remote Sensing Technology and Application,2014,29(2):324-329.[朱俊杰,杜小平,范湘涛,等.一种改进的多尺度分形网络演化分割方法[J].遥感技术与应用,2014,29(2):324-329.][15]Haralick R M,Shanmugam K,Dinstein I H.Textural features for image classification[J].IEEE Transactions on Systems,Man and Cybernetics,1973,(6):610-621.[16]Zhang Ce,Zang Shuying,Jin Zhu,et al.Remote Sensing Classification for Zhalong Wetlands based on Support Vector Machine[J].Wetland Science,2011,9(3):263-269.[张策,臧淑英,金竺,等.基于支持向量机的扎龙湿地遥感分类研究[J].湿地科学,2011,9(3):263-269.] |
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