[1] 白泽龙,包安明,赵金,等. 艾比湖流域近40 年来土地利用与 覆被动态变化研究[J]. 水土保持通报,2012,32(2):172-179. [BAI Zelong,BAO Anming,ZHAO Jin,et al. Land use/cover changes of Ebinur Lake watershed in recent forty years[J]. Bulletin of Soil andWater Conservation,2012,32(2):172-179.][2] 谢正宇,李文华,谢正君,等. 艾比湖湿地自然保护区生态系统 服务功能价值评估[J]. 干旱区地理,2011,33(3):532-540. [XIE Zhengyu,LI Wenhua,XIE Zhengjun,et al. The Ebinur Lake wetland nature reserve valuation of ecosystem services[J]. Arid Land Geography,2011,33(3):532-540.][3] 秦璐,吕光辉,张雪妮,等. 干旱区艾比湖湿地土壤呼吸的空间 异质性[J]. 干旱区地理,2014,37(4):704-712.[QIN Lu,LV Guanghui,ZHANG Xueni,et al. Spatial heterogeneity of soil respiration at Ebinur Lake wetland nature reserve in arid area[J]. Arid Land Geography,2014,37(4):704-712.][4] 李玲,王红,刘庆生,等. 基于纹理特征和支持向量机的ALOS 图像土地覆被分类[J]. 国土资源遥感,2011,(4):58-63.[LI Ling,WANG Hong,LIU Qingsheng,et al. Land cover classification using ALOS image based on textural features and support vector machine[J]. Remote Sensing for Land&Resources,2011, (4):58-63.][5] 陈波,张友静,陈亮. 结合纹理的SVM遥感影像分类研究[J]. 测绘工程,2007,16(5):23-27.[CHEN Bo,ZHANG Youjing, CHEN Liang. RS image classification based on svm method with texture[J]. Engineering of Surveying and Mapping,2007,16(5): 23-27.][6] 陈启浩,高伟,刘修国. 辅以纹理特征的高分辨率遥感影像分 类[J]. 测绘科学,2008,33(1):88-90.[CHEN Qihao,GAOWe, LIU Xiuguo. Texture feature high resolution remote sensing image classification[J]. Science of Surveying and Mapping,2008, 33(1):88-90.][7] 瞿娟,丁建丽,孙永猛. 基于改进SVM的新疆北部地区积雪面 积反演研究[J]. 资源科学,2013,35(2):422-429.[QU Juan, DING Jianli,SUN Yongmeng. Improved SVM for extracting snow cover in northern Xinjiang[J]. Resources Science,2013,35 (2):422-429.][8] SHABAN M A,DIKSHIT O. Improvement of classification in urban areas by the use of textural features:the case study of Lucknow City,Uttar Pradesh[J]. International Journal of Remote Sensing,2001,22:565-593.[9] 张伐伐,李卫忠,卢柳叶,等. SVM多窗口纹理土地利用信息提 取技术[J]. 遥感学报,2012,16(1):67-78.[ZHANG Fafa,LI Weizhong,LU Liuye,et al. Technologies of extracting land utilization information based on SVM method with multi-window texture[J]. Journal of Remote Sensing,2012,16(1):67-78.][10] COBURN C A,ROBERTS A C B. A multiscale texture analysis procedure for improved forest stand classification[J]. International Journal of Remote Sensing:Image and Signal Processing for Remote Sensing,2004,25(20):4287-4308.[11] 李良军,王旭红,妙丹,等. 遥感图像信息容量与植被指数的耦 合关系研究[J]. 干旱区地理,2014,37(2):342-348.[LI Liangjun, WANG Xuhong,MIAO Dan,et al. The coupling relationship between remote sensing image information capacity and a variety of vegetation index[J]. Arid Land Geography,2014,37 (2):342-348.][12] FRANKLIN S E,WUKLER M A,LAVINGNE M B. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis[J]. Computers&Geosciences, 1996,22(6):665-673.[13] 黄昕,张良培,李平湘. 基于多尺度特征融合和支持向量机的 高分辨率遥感影像分类[J]. 遥感学报,2007,11(1):48-54. [HUANG Xin,ZHANG Liangpei,LI Pingxiang. Classification of high spatial resolution remotely sensed imagery based upon fusion of muitiscale features and SVM[J]. Journal of Remote Sensing,2007,11(1):48-54.][14] 刘友山,吕成文,祝凤霞,等. 基于PCA和多尺度纹理特征提取 的高分辨率遥感影像分类[J]. 遥感技术与应用,2012,27(5): 706-711.[LIU Youshan,LV Chengwen,ZHU Fengxia,et al. Extraction of high spatial resolution remote sensing image classification based on PCA and multi-scale texture feature[J]. Remote Sensing Technology and Application,2012,27(5):706-711.][15] FABIO Roli,GIORGIO Fumera. Support vector machines for remote sensing image classification[J]. Image and Signal Processing for Remote Sensing,2001,4170:160-166.[16] PAL M,MATHER P M. Support vector machines for classification in remote sensing[J]. International Journal of Remote Sensing, 2005,26(5):1007-1011.[17] INGLADA J. Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2007,62(3):236-248.[18] THOMAS O,DEBASMITA M,NAVIN K C T. An objective analysis of support vector machine based classification for remote sensing[J]. Mathematical Geosciences,2008,40(3):409-424.[19] 白照广. 高分一号卫星的技术特点[J]. 中国航天,2013,(8): 5-9.[BAI Zhaoguang. Technical characteristics of GF-1 satellite[J]. Aerospace China,2013,(8):5-9.][20] 刘兆军."高分一号"遥感相机填补国内高分辨对地观测空白[J]. 航天返回与遥感,2013,(2):2.[LIU Zhaojun. "GF-1" remote sensing camera to fill the blank of high resolution earth observation[J]. Spacecraft Recovery&Remote Sensing,2013,(2):2.][21] 王璐,刘新平. 艾比湖流域土地利用变化及其生态响应分析[J]. 新疆农业科学,2011,(5):896-902.[WANG Lu,LIU Xinping. Analysis on changes of land use and their ecological environment response in Ebinur Lake Basin[J]. Xinjiang Agricultural Sciences,2011,(5):896-902.][22] 董雯,刘志辉. 艾比湖流域水资源承载力综合评价[J]. 干旱区 地理,2010,(2):217-223.[DONG Wen,LIU Zhihui. Comprehensive evaluation of water resources carrying capacity in Ebinur Lake Basin[J]. Arid Land Geography,2010,(2):217-223.][23] 钱亦兵,吴兆宁,常轶深,等. 艾比湖地区植被和土壤在南-北区段上的差异性分析[J]. 干旱区地理,2013,36(5):781-789.[QIAN Yibing,WU Zhaoning,CHANG Yishen,et al. Southnorth differences of vegetations and soils in the Aibi Lake area[J]. Arid Land Geography,2013,36(5):781-789.][24] TUCERYAN M,JAIN A K. Handbook of pattern recognition and computer vision,chapter2:texture analysis[M]. Singapore: World Scientific,1993.[25] 甄宗坤,岳建平. 基于LOG算子和灰度共生矩阵的影像纹理 特征提取[J]. 测绘通报,2013,9:31-34.[ZHEN Zongkun, YUE Jianping. Image texture feature extraction using log operator and grey level co-occurance matrix[J]. Bulletin of Surveying and Mapping,2013,9:31-34.][26] HARALICK R M,SHANMUGAM K,DINSTAIN I. Textural features for image classification[J]. IEEE Transactions on Man and Cybernetics,1973,3(6):610-621.[27] 刘丽,匡纲要. 图像纹理特征提取方法综述[J]. 中国图像图形 学报,2009,14(4):622-635.[LIU li,KUANG Gangyao. Overview of image textural feature extraction methods[J]. Journal of Image and Graphics,2009,14(4):622-635.][28] 王双亭,艾泽天,都伟冰,等. 基于SVM不同核函数的多源遥 感影像分类研究[J]. 河南理工大学学报,2011,30(3):304-309.[WANG Shuangting,AI Zetian,DOU Weibing,et al. Research on multi-source remote sensing image classification based on SVM different kernel functions[J]. Journal of Henan Polytechnic University,2011,30(3):304-309.][29] 宋晖,薛云,张良均. 基于SVM分类问题的核函数选择仿真研 究[J]. 计算机与现代化,2011,8:133-136.[SONG Hui,XUE Yun,ZHANG Liangjun. Research on kernel function selection simulation based on SVM classification[J]. Computer and Modernization, 2011,8:133-136.][30] 李盼池,许少华. 支持向量在模式识别中的核函数特性分析[J]. 计算机工程与设计,2005,26(2):302-304.[LI Panchi,XU Shaohua. Support vector machine and kernel function characteristic analysis in pattern recognition[J]. Computer Engineering and Design,2005,26(2):302-304.][31] 姚成胜,朱鹤健,吕晞,等. 土地利用变化的社会经济驱动因子 对福建生态系统服务价值的影响[J]. 自然资源学报,2009,2: 225-233.[YAO Chengsheng,ZHU Hejian,LU Xi,et al. Study on the impact of socio-economic driving factors of land use change on the ecosystem service values in Fujian Province[J]. Journal of Natural Resources,2009,2:225-233.][32] VAPNIK V N. Statistical learning theory[M]. NewYork:John Wiley&Sons,1998. |