|
|||||
|
|
On the effective inversion by imposing a priori information for retrieval of land surface parameters |
|
| Authors: | WANG YanFei MA ShiQian YANG Hua WANG JinDi & LI XiaoWen Key Laboratory of Petroleum Geophysics |
| Affiliation: | WANG YanFei1,MA ShiQian3,YANG Hua2,WANG JinDi2 & LI XiaoWen2 1 Key Laboratory of Petroleum Geophysics,Institute of Geology , Geophysics,Chinese Academy of Sciences,Beijing 100029,China,2 State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University , the Institute of Remote Sensing Applications of Chinese Academy of Sciences,Beijing 100875,3 Department of Industrial Engineering , Operations Research,Columbia University,New York,NY 10027-6902,USA |
| Abstract: | The anisotropy of the land surface can be best described by the bidirectional reflectance distribution function (BRDF). As the field of multiangular remote sensing advances, it is increasingly probable that BRDF models can be inverted to estimate the important biological or climatological parameters of the earth surface such as leaf area index and albedo. The state-of-the-art of BRDF is the use of the linear kernel-driven models, mathematically described as the linear combination of the isotropic kernel, vo... |
| Keywords: | ill-posed problems land surface parameter retrieval optimization regularization |
| 本文献已被 CNKI 等数据库收录！ | |