书目名称 | Sensitivity Analysis in Remote Sensing |
编辑 | Eugene A. Ustinov |
视频video | |
概述 | Includes supplementary material: |
丛书名称 | SpringerBriefs in Earth Sciences |
图书封面 |  |
描述 | .This book contains a detailed presentation of general principles of sensitivity analysis as well as their applications to sample cases of remote sensing experiments. An emphasis is made on applications of adjoint problems, because they are more efficient in many practical cases, although their formulation may seem counterintuitive to a beginner. Special attention is paid to forward problems based on higher-order partial differential equations, where a novel matrix operator approach to formulation of corresponding adjoint problems is presented..Sensitivity analysis (SA) serves for quantitative models of physical objects the same purpose, as differential calculus does for functions. SA provides derivatives of model output parameters (observables) with respect to input parameters. In remote sensing SA provides computer-efficient means to compute the jacobians, matrices of partial derivatives of observables with respect to the geophysical parameters of interest. The jacobians areused to solve corresponding inverse problems of remote sensing. They also play an important role already while designing the remote sensing experiment, where they are used to estimate the retrieval uncertainti |
出版日期 | Book 2015 |
关键词 | Adjoint Partial Differential Equations and Sensitivity Analysis; Adjoint Problems and Sensitivity Ana |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-15841-9 |
isbn_softcover | 978-3-319-15840-2 |
isbn_ebook | 978-3-319-15841-9Series ISSN 2191-5369 Series E-ISSN 2191-5377 |
issn_series | 2191-5369 |
copyright | The Author(s) 2015 |