The use of a priori knowledge in remote sensing inversion has great implications for ensuring the stability of inversion process and reducing uncertainties in retrieved results, especially under the condition of insuf...The use of a priori knowledge in remote sensing inversion has great implications for ensuring the stability of inversion process and reducing uncertainties in retrieved results, especially under the condition of insufficient observations. Common optimization algorithms have difficulties in providing posterior distribution and thus cannot directly acquire uncertainties in inversion results, which is of no benefit to remote sensing application. In this article, ensemble Kalman filter (EnKF) has been introduced to retrieve surface geophysical parameters from remote sensing observations, which has the capability of not merely obtaining inversion results but also giving its posterior distribution. To show the advantage of EnKF, it is compared to standard MODIS AMBRALS algorithm and highly effi-cient global optimization method SCE-UA. The inversion abilities of kernel-driven BRDF models with different kernel combinations at several main cover types are emphatically discussed when observa-tions are deficient and a priori knowledge is introduced into inversion.展开更多
金属铝在航空航天、军事国防、电子通信等领域具有重要应用,对铝材料表面光谱偏振散射特性的研究有助于丰富材料的光学信息,能够为铝材料的应用提供数据支撑.首先基于一套传统双向反射分布函数(bidirectional reflectance distribution ...金属铝在航空航天、军事国防、电子通信等领域具有重要应用,对铝材料表面光谱偏振散射特性的研究有助于丰富材料的光学信息,能够为铝材料的应用提供数据支撑.首先基于一套传统双向反射分布函数(bidirectional reflectance distribution function,BRDF)测量装置在近红外波段测量了粗糙铝表面的光谱偏振BRDF,并分析了入射天顶角、粗糙度等因素对测量结果的影响.测量结果表明:入射角、波长、偏振态和表面粗糙度对BRDF有显著影响.其次,分别采用Beckmann分布和指数分布概率密度分布函数建立了BRDF模型,并对实验结果进行了拟合.通过对比能够发现:对于同一样品和相同入射条件,不同的模型能够得到不同的拟合结果;对于不同粗糙度的样品采用不同的模型可能得到更好的拟合结果.展开更多
Kernel-driven model was chosen to calculate global albedo in the project of multiangular remote sensor MODIS. The best kernels were selected by the venerable 'least square' method. The result of this method wa...Kernel-driven model was chosen to calculate global albedo in the project of multiangular remote sensor MODIS. The best kernels were selected by the venerable 'least square' method. The result of this method was very unstable when only a small amount of angular observations is available. A new criterion has been estalished, called 'least variance' for the kernel’s selection. It takes into consideration the effects of model and measurement based on the information inverse theory. Several tests showed that 'least variance' has many advantages. First, it is less sensitive to noises. Second, it operates well in small sample size. Third, it depends less on the sampling position.展开更多
该文构建了光子在作物冠层传输的随机过程,采用蒙特卡罗(M on te C arlo)方法模拟了作物冠层BRDF。对比蒙特卡罗模型和M CRM模型,分析了叶倾角(LAD)与叶面积指数(LA I)对两模型BRDF的影响,并对其中的变化给出了合理的解释。研究表明,两...该文构建了光子在作物冠层传输的随机过程,采用蒙特卡罗(M on te C arlo)方法模拟了作物冠层BRDF。对比蒙特卡罗模型和M CRM模型,分析了叶倾角(LAD)与叶面积指数(LA I)对两模型BRDF的影响,并对其中的变化给出了合理的解释。研究表明,两模型虽然在模拟的BRDF数值上有一定差异,但在不同LAD和LA I对BRDF的变化趋势上达到了较好的一致性。最后,用实测BRDF数据验证和分析蒙特卡罗模型,结果表明,蒙特卡罗模型与实测BRDF较为吻合,蒙特卡罗模型可以作为其他作物冠层BRDF前向模拟的有效验证工具。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.40471095)the National Basic Research Program(Grant No.G2000077908)the International Cooperation Project of MOST(Grant No.2004DFA06300).
文摘The use of a priori knowledge in remote sensing inversion has great implications for ensuring the stability of inversion process and reducing uncertainties in retrieved results, especially under the condition of insufficient observations. Common optimization algorithms have difficulties in providing posterior distribution and thus cannot directly acquire uncertainties in inversion results, which is of no benefit to remote sensing application. In this article, ensemble Kalman filter (EnKF) has been introduced to retrieve surface geophysical parameters from remote sensing observations, which has the capability of not merely obtaining inversion results but also giving its posterior distribution. To show the advantage of EnKF, it is compared to standard MODIS AMBRALS algorithm and highly effi-cient global optimization method SCE-UA. The inversion abilities of kernel-driven BRDF models with different kernel combinations at several main cover types are emphatically discussed when observa-tions are deficient and a priori knowledge is introduced into inversion.
文摘金属铝在航空航天、军事国防、电子通信等领域具有重要应用,对铝材料表面光谱偏振散射特性的研究有助于丰富材料的光学信息,能够为铝材料的应用提供数据支撑.首先基于一套传统双向反射分布函数(bidirectional reflectance distribution function,BRDF)测量装置在近红外波段测量了粗糙铝表面的光谱偏振BRDF,并分析了入射天顶角、粗糙度等因素对测量结果的影响.测量结果表明:入射角、波长、偏振态和表面粗糙度对BRDF有显著影响.其次,分别采用Beckmann分布和指数分布概率密度分布函数建立了BRDF模型,并对实验结果进行了拟合.通过对比能够发现:对于同一样品和相同入射条件,不同的模型能够得到不同的拟合结果;对于不同粗糙度的样品采用不同的模型可能得到更好的拟合结果.
文摘Kernel-driven model was chosen to calculate global albedo in the project of multiangular remote sensor MODIS. The best kernels were selected by the venerable 'least square' method. The result of this method was very unstable when only a small amount of angular observations is available. A new criterion has been estalished, called 'least variance' for the kernel’s selection. It takes into consideration the effects of model and measurement based on the information inverse theory. Several tests showed that 'least variance' has many advantages. First, it is less sensitive to noises. Second, it operates well in small sample size. Third, it depends less on the sampling position.
文摘该文构建了光子在作物冠层传输的随机过程,采用蒙特卡罗(M on te C arlo)方法模拟了作物冠层BRDF。对比蒙特卡罗模型和M CRM模型,分析了叶倾角(LAD)与叶面积指数(LA I)对两模型BRDF的影响,并对其中的变化给出了合理的解释。研究表明,两模型虽然在模拟的BRDF数值上有一定差异,但在不同LAD和LA I对BRDF的变化趋势上达到了较好的一致性。最后,用实测BRDF数据验证和分析蒙特卡罗模型,结果表明,蒙特卡罗模型与实测BRDF较为吻合,蒙特卡罗模型可以作为其他作物冠层BRDF前向模拟的有效验证工具。
