[1] 臧熹,杨博,齐建伟,等.一种改进的遥感影像地形校正方法[J].测绘通报,2015(1):75-80. [2] 焦俊男,石静,田庆久,等.多光谱影像的NDVI阴影影响去除模型[J].遥感学报,2020,24(1):53-66. [3] 李丽.卫星观测及太阳照射方位对植被阴影的影响[D].北京:中国地质大学(北京),2016. [4] 黄博,徐丽华.基于改进型Minnaert地形校正模型的应用研究[J].遥感技术与应用,2012,27(2):183-189. [5] TEILLET P M,GUINDON B,GOODENOUGH D G.On the slope-aspect correction of multispectral scanner data[J].Canadian Journal of Remote Sensing,1982,8(2):84-106. [6] CIVCO D L.Topographic normalization of Landsat Thematic Mapper digital imagery[J].Photogrammetric Engineering & Remote Sensing,1989,55(9):1303-1309. [7] GU Degui,GILLESPIE A.Topographic normalization of landsat TM images of forest based on subpixel Sun-canopy-sensor geometry[J].Remote Sensing of Environment,1998,64(2):166-175. [8] SMITH J A,LIN T,RANSON K.The Lambertian assumption and Landsat data[J].Environment Science,Engineering,1980:126899514. [9] GAO Yongnian,ZHANG Wanchang.Variable empirical coefficient algorithm for removal of topographic effects on remotely sensed data from rugged terrain[C]//Proceedings of 2007 IEEE International Geoscience and Remote Sensing Symposium.Barcelona:IEEE,2007. [10] REEDER D H.Topographic correction of satellite images:Theory and application[C]//Dissertation Abstracts International.Hanover:Dartmouth College,2002:5123-5275. [11] SOENEN S A,PEDDLE D R,COBURN C A.SCS+C:a modified Sun-canopy-sensor topographic correction in forested terrain[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(9):2148-2159. [12] FAN Weiliang,LI Jing,LIU Qinhuo,et al.Topographic correction of forest image data based on the canopy reflectance model for sloping terrains in multiple forward mode[J].Remote Sensing,2018,10(5):717. [13] 刘时城,温仲明,陶宇,等.不同地形校正方法对刺槐林遥感提取的影响[J].北京林业大学学报,2017,39(5):25-33. [14] 柳潇,吕新彪,吴春明,等.面向高空间分辨率遥感影像的山区地形校正方法[J].地球科学,2020,45(2):645-662. [15] 林起楠,黄华国,陈玲,等.陡峭山区影像的半经验地形校正[J].遥感学报,2017,21(5):776-784. [16] 刘子玮.基于地形辐射校正的植被覆盖参数遥感反演[D].泰安:山东农业大学,2017. [17] 孙姣姣.基于地形校正的遥感蚀变矿物(组合)提取[D].成都:成都理工大学,2018. [18] 林英豪,金燕,沈夏炯,等.考虑地物类型的Minnaert地形校正模型优化方法[J].遥感学报,2022,26(12):2542-2554. [19] 夏沛.地形校正对云南松虫害信息提取的影响分析[D].北京:北京林业大学,2017. [20] 陈怡欣,莫登奎,严恩萍.基于Sentinel-2的复杂山区常用植被指数地形效应分析[J].生态学杂志,2023,42(4):956-965. [21] 武晋雯,冯锐,孙龙彧,等.基于Himawari-8和GF-1卫星的林火遥感监测[J].灾害学,2018,33(4):53-59. [22] 祖笑锋,覃先林,尹凌宇,等.基于高分一号影像光谱指数识别火烧迹地的决策树方法[J].林业资源管理,2015(4):73-78. [23] 雷宝佳,蒋好忱,刘兰兰,等.基于Landsat-7 ETM的地物精准分类提取方法分析[J].测绘与空间地理信息,2023,46(7):26-28. [24] 余哲修,张超,陈建珍,等.阴阳坡不同划分方法的坡度匹配模型地形校正研究[J].西南林业大学学报(自然科学),2017,37(6):178-187. [25] 张静静,郑辉,朱连奇,等.豫西山地植被NDVI及其气候响应的多维变化[J].地理研究,2017,36(4):765-778. [26] 吕利利,颉耀文,董龙龙.基于不同地形校正模型的影像反射率对比分析[J].遥感技术与应用,2017,32(4):751-759. |