高光谱场景辐亮度模型仿真研究
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摘要
高光谱遥感的地面场景是高光谱遥感系统中影响因素最复杂多变的部分;首先基于星载高光谱遥感成像的辐射传输过程,对非均匀的朗伯表面的入瞳处大气辐亮度传输模型进行了研究,得到只需要考虑目标与邻近像元反射率,大气传输因子的辐亮度简化模型;之后介绍了大气中光子扩散原理,并采用蒙特卡洛方法对大气点扩散函数进行仿真;联合地表目标像元反射率数据计算得到基于非均匀朗伯面地表的邻近像元反射率;然后总结了大气传输模型软件MODTRAN计算入瞳处辐亮度数据的原理步骤,并利用其反演了朗伯表面的相关大气传输参数;最终利用基于传感器入瞳处的辐亮度数据表征了高光谱地面场景。
Hyperspectral ground scenes are the most complex and influential factors in the hyperspectral remote sensing system.Based on the radiative transmission process of satellite-borne hyperspectral remote sense,researched the radiative transmission model of the atmosphere at the entrance pupil of a non-uniform Lambertian surface.Simplified the model considered the reflectance of the target and neighboring pixels,and the radiance of the atmospheric transmission factor.Introduced the principle of photon diffusion in the atmosphere,and used the Monte Carlo method to simulate the atmospheric diffusion function.Calculated the reflectivity of neighboring cells based on the non-uniform Lambertian surface by combining the reflectance data of the target surface.Summarized the principle and steps of the radiance data at the entrance pupil for MOTDRAN,and used it to invert the relevant atmospheric transmission parameters of the Lambertian surface.Finally used radiance data based on the entrance pupil of the sensor to characterize the hyperspectral ground scene.
Hyperspectral ground scenes are the most complex and influential factors in the hyperspectral remote sensing system.Based on the radiative transmission process of satellite-borne hyperspectral remote sense,researched the radiative transmission model of the atmosphere at the entrance pupil of a non-uniform Lambertian surface.Simplified the model considered the reflectance of the target and neighboring pixels,and the radiance of the atmospheric transmission factor.Introduced the principle of photon diffusion in the atmosphere,and used the Monte Carlo method to simulate the atmospheric diffusion function.Calculated the reflectivity of neighboring cells based on the non-uniform Lambertian surface by combining the reflectance data of the target surface.Summarized the principle and steps of the radiance data at the entrance pupil for MOTDRAN,and used it to invert the relevant atmospheric transmission parameters of the Lambertian surface.Finally used radiance data based on the entrance pupil of the sensor to characterize the hyperspectral ground scene.
引文
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[2]赵慧洁,江澄,贾国瑞.起伏地形的高光谱遥感地气耦合辐射建模研究[J].光谱学与光谱分析,2014,34(1):191-195.
[3]童庆禧,张兵,郑兰芬.高光谱遥感:原理、技术与应用[M].北京:高等教育出版社,2006.
[4]贾国瑞.色散型高光谱遥感成像建模与仿真关键技术研究[D].北京:北京航空航天大学,2011.
[5]胡顺石.卫星高光谱影像地表反射率一体化反演技术研究[D].北京:中国科学院大学,2013.
[6]陈东来.高光谱遥感场景成像模型研究[D].哈尔滨:哈尔滨工业大学,2009.
[7]Jia G,Zhao H,Na L.Simulation of Hyperspectral Scene with Full Adjacency Effect[A].Geoscience and Remote Sensing Symposium,2008.IGARSS 2008.IEEE International[C].IEEE,2008III-724-727.
[8]Berk A,Adler-Golden S M,Ratkowski A J,et al.Exploiting MODTRAN radiation transport for atmospheric correction:The FLAASH algorithm[A].International Conference on Information Fusion[C].IEEE,2002(2):798-803.
[9]徐希孺,王平荣.用蒙特-卡罗方法计算大气点扩散函数[J].遥感学报,1999,3(4):268-278.
[10]齐怀川,王合顺.交叉辐射对高分辨率遥感成像质量的影响[J].航天返回与遥感,2013,34(3):26-33.
[11]Palomar L G.New algorithms for atmospheric correction and retrieval of biophysical parameters in earth observation:application to ENVISAT/MERIS data[J].Tdx,2007.
[12]魏巍.激光主动成像识别技术研究[D].吉林:吉林大学,2013.
[13]邓书斌,陈秋锦,杜会建.ENVI遥感图像处理方法[M].北京:高等教育出版社,2014.
[14]徐元柳,王润生,刘圣伟,等.基于Modtran的高光谱遥感影像大气校正[A].全国遥感技术学术交流会[C].2007.