Reference:[1]Deng S B, Chen Q J. Mixed pixel based MTMF decomposition[A]. The 17th China Remote Sensing Assembly Abstracts[C]. Nanjing: China Association of Remote Sensing Applications, 2010: 69-73.[2]Pan M Z, Yuan H X, Xiao G H, et al. Study of mixed pixel linear unmixinf model based on high accurate endmember[J]. Journal of Infrared and Millimeter Waves, 2010, (5): 357-361.[3]Yan G Q, Zhao Y S, Ning Y L, et al. Study on the main influencing factors of mixed-pixel spectral characteristics[J]. Spectroscopy and Spectral Analysis, 2009, 29(12): 3358-3361.[4]Chabrillat S, Pinet P C, Ceuleneer G, et al. Ronda peridotite massif: Methodology for its geological mapping and lithological discrimination from airborne hyper spectral data[J]. International Journal of Remote Sensing, 2000, 21: 2363-2388.[5]Li H, Chen J F, Yu M. Extracting vegetation coverage information from ASTER remote sensing data based on linear spectral immixture model[J]. Geo-Information Science, 2005, 7(1): 103-106.[6]Small C. Estimation of urban vegetation abundance by spectral mixture analysis[J]. International Journal of Remote Sensing, 2001, 22(7): 1305-1334.[7]Zhang X C, Zhao Y S. Application of line spectral mixture model to rapid assessment of land degradation in semiarid area[J]. Journal of the Graduate School Academia Sinica, 1999, 16(2): 169-176.[8]Wan J, Cai Y L. Applying linear spectral unmixing approach to the research of land cover change in Karst area: A case in Guanling County of Guizhou Province[J]. Geographical Research, 2003, 22(4): 440-443.[9]Zou P, Wang Y P, Wang Z S, et al. Accessing the linear spectral un-mixing approach for extracting vegetation information using landsat ETM+ data in macao[J]. Journal of South China Normal University(Natural Science Edition), 2007, (7): 131-136.[10]Wang W, Huang X D, Lv Z B, et al. A study on snow mapping in the Tibetan Plateau based on MODIS and AMSR-E data[J]. Acta Prataculturae Sinica, 2013, 22(4): 227-238.[11]Feng Q S, Zhang X T, Liang T G. Dynamic monitoring of snow cover based on MOD10A1 and AMSR-E in the north of Xinjiang Province, China[J]. Acta Prataculturae Sinica, 2009, 18(1):125-133. [12]Pei H, Fang S F, Tan Z H, et al. Remote sensing-based monitoring of coverage and depth of snow in northern Xinjiang[J]. Journal of Natural Disasters, 2008, 17(5): 52-57. [13]Li B L, Zhang Y C, Zhou C H. Snow cover depletion curve in Kaidu river basin,Tianshan mountains[J]. Resources Science, 2004, 26(6): 23-29.[14]Chen X N, Bao A M, Zhang H L, et al. A study on methods and accuracy assessment for extracting snow covered areas from MODIS images based on Pixel Unmixing: a case on the middle of the Tianshan[J]. Resource Science, 2004, 15(6): 665-671.[15]Yan H, Zhang G P. Unmixing method applied to noaa-avhrr data for snow cover estimation[J]. Journal of Applied Meteorological Science, 2004, 15(6): 655-661.[16]Painter T H, Dozier J, Robiters D, et al. Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data[J]. Remote Sensing of Environment, 2003, 25(1): 64-77.[17]Roberts D A, Gardner M, Church R, et al. Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models[J]. Remote Sensing of Environment, 1998, 65(3): 267-279.[18]Roberts D, Halligan K, Dennison P. VIPER Tools User Manual Version 1.5[EB/OL]. (2007 12 11). http://www.vipertools.org.[19]Dennison P E, Halligan K Q, Roberts D A. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper[J]. Remote Sensing of Environment, 2004, 93(3): 359-367.[20]Song C. Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability[J]. Remote Sensing of Environment, 2005, 95(2): 248-263.[21]Ma M L, Zhu Y, Li W L, et al. Extracting area information of paddy rice based on stratified multiple endmember spectral mixture analysis[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 8(2): 154-159.[22]Frankea J, Robertsb D, Halliganc K, et al. Hierarchical multiple endmember spectral mixture analysis (MESMA) of hyperspectral imagery for urban environments[J]. Remote Sensing of Environment, 2009, 93(3): 1712-1719.[23]Rao P. EOS-MODIS Pixel component decomposition endmember selection and improvement[A]."MAPPING" Mapping Frontiers of Science Technology Forum Abstracts[M]. Beijing: Surveying and Mapping Press, 2008: 1-10.参考文献:[1]邓书斌, 陈秋锦. 基于MTMF的混合像元分解方法研究[A]. 第十七届中国遥感大会摘要集[C]. 南京: 中国遥感应用协会, 2010: 69-73.[2]潘明忠, 元洪兴, 肖功海, 等. 基于高精度端元的混合像元线性分解模型研究[J]. 红外与毫米波学报, 2010, (5): 357-361.[3]阎国倩, 赵云升, 宁艳玲, 等. 混合像元光谱特征影响因子分析[J]. 光谱学与光谱分析, 2009, 29(12): 3358-3361.[4]Chabrillat S, Pinet P C, Ceuleneer G, et al. Ronda peridotite massif: Methodology for its geological mapping and lithological discrimination from airborne hyper spectral data[J]. International Journal of Remote Sensing, 2000, 21: 2363-2388.[5]李慧, 陈健飞, 余明. 线性光谱混合模型的ASTER影像植被应用分析[J]. 地球信息科学, 2005, 7(1): 103-106.[6]Small C. Estimation of urban vegetation abundance by spectral mixture analysis[J]. International Journal of Remote Sensing, 2001, 22(7): 1305-1334.[7]张熙川, 赵英时. 应用线性光谱混合模型快速评价土地退化的方法研究[J].中国科学院研究生院学报, 1999, 16(2): 169-176.[8]万军, 蔡运龙. 应用线性光谱分离技术研究喀斯特地区土地覆被变化——以贵州省关岭县为例[J]. 地理研究, 2003, 22(4): 440-443.[9]邹蒲, 王云鹏, 王志石, 等. 基于 ETM+图像的混合像元线性分解方法在澳门植被信息提取中的应用及效果评价[J].华南师范大学学报(自然科学版), 2007, (7): 131-136.[10]王玮, 黄晓东, 吕志邦, 等. 基于MODIS和AMER-E资料的青藏高原牧区雪被制图研究[J].草业学报, 2013, 22(4): 227-238.[11]冯琦胜, 张学通, 梁天刚. 基于MOD10A1和AMSR-E的北疆牧区积雪动态监测研究[J]. 草业学报, 2009, 18(1):125-133. [12]裴欢, 房世峰, 覃志豪, 等. 基于遥感的新疆北疆积雪盖度及雪深监测[J]. 自然灾害学报, 2008, 17(5): 52-57. [13]李宝林, 张一驰, 周成虎. 天山开都河流域雪盖消融曲线研究[J]. 资源科学, 2004, 26(6): 23-29.[14]陈晓娜, 包安明, 张红利, 等. 基于混合像元分解的MODIS积雪面积信息提取及其精度评价——以天山中段为例[J]. 应用气象学报, 2004, 15(6): 665-671.[15]延昊, 张国平. 混合像元分解法提取积雪盖度[J]. 应用气象学报, 2004, 15(6): 655-661.[16]Painter T H, Dozier J, Robiters D, et al. Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data[J]. Remote Sensing of Environment, 2003, 25(1): 64-77.[17]Roberts D A, Gardner M, Church R, et al. Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models[J]. Remote Sensing of Environment, 1998, 65(3): 267-279.[18]Roberts D, Halligan K, Dennison P. VIPER Tools User Manual Version 1.5[EB/OL]. (2007-12-11). http://www.vipertools.org.[19]Dennison P E, Halligan K Q, Roberts D A. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper[J]. Remote Sensing of Environment, 2004, 93(3): 359-367.[20]Song C. Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability[J]. Remote Sensing of Environment, 2005, 95(2): 248-263.[21]马孟莉, 朱艳, 李文龙, 等.基于分层多端元混合像元分解的水稻面积信息提取[J]. 农业工程学报, 2012, 8(2): 154-159.[22]Frankea J, Robertsb D, Halliganc K, et al. Hierarchical multiple endmember spectral mixture analysis (MESMA) of hyperspectral imagery for urban environments[J]. Remote Sensing of Environment, 2009, 93(3): 1712-1719.[23]饶萍. EOS-MODIS像元组分分解中端元的选择与改进[A].《测绘通报》测绘科学前沿技术论坛摘要集[M]. 北京: 测绘出版社, 2008: 1-10. |