شاركنا تاريخ ميلادك!
تاريخ الميلاد
تاريخ الميلاد المدخل غير مكتمل يرجى ادخال تاريخ ميلاد صحيح
×
السلعة غير متوفرة حاليا
Sensitivity Analysis In Remote Sensing
كن أول من يقيِّم هذا المنتج 
×
تفقد سلع أخرى متوفرة سلع أخرى متوفرة

إعلانات مُموَّلة لك

معلومات المنتج

  •  

    المواصفات

    رقم ال ISBN
    9783319158402.0
    الفئات
    جيولوجيا
    الرقم المميز للسلعة
    2724330362291
    المؤلفين
    الكاتب
    Eugene A. Ustinov
    المؤلفين
    الناشر
    Springer
    رقم ال ISBN
    9783319158402.0
    الفئات
    جيولوجيا
    الرقم المميز للسلعة
    2724330362291
    المؤلفين
    الكاتب
    Eugene A. Ustinov
    المؤلفين
    الناشر
    Springer
    اللغات والبلدان
    لغة الكتاب
    الانجليزية
    إقرأ المزيد
  •  

    الوصف:

    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

    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 are used 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 uncertainties of the geophysical parameters with given measurement errors of the instrument, thus providing means for formulations of corresponding requirements to the specific remote sensing instrument.

    If the quantitative models of geophysical objects can be formulated in an analytic form, then sensitivity analysis is reduced to differential calculus. But in most cases, the practical geophysical models used in remote sensing are based on numerical solutions of forward problems – differential equations with initial and/or boundary conditions. As a result, these models cannot be formulated in an analytic form and this is where the methods of SA become indispensable.

    This book is intended for a wide audience. The beginners in remote sensing could use it as a single source, covering key issues of SA, from general principles, through formulation of corresponding linearized and adjoint problems, to practical applications to uncertainty analysis and inverse problems in remote sensing. The experts, already active in the field, may find useful the alternative formulations of some key issues of SA, for example, use of individual observables, instead of a widespread use of the cumulative cost function. The book also contains an overview of author’s matrix operator approach to formulation of adjoint problems for forward problems based on the higher-order partial differential equations. This approach still awaits its publication in the periodic literature and thus may be of interest to readership across all levels of expertise.

 

تقييمات المستخدمين

0
لا يوجد تقييمات بعد
كن أول من يقيِّم هذا المنتج
قيِّم هذا المنتج:

×

الرجاء تأكيد رقم هاتفك الجوال لإكمال عملية الشراء

سنقوم بإرسال رسالة نصية تحتوي على رمز التفعيل، الرجاء التأكد من رقم هاتفك الجوال ادناه، ثم انقر على زر "أرسل رمز التفعيل".