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Author : Andrew S Milman
Publisher : CRC Press
Page : 406 pages
File Size : 46,6 Mb
Release : 2000-03-01
Category : Technology & Engineering
ISBN : 9780203305782
This book is an informative reference, or working textbook, on the mathematics, and general physical and chemical processes behind remote sensor measurements.
Author : Andrew S Milman
Publisher : CRC Press
Page : 424 pages
File Size : 43,9 Mb
Release : 2000-03-01
Category : Technology & Engineering
ISBN : 0203305787
This book is an informative reference, or working textbook, on the mathematics, and general physical and chemical processes behind remote sensor measurements.
Author : Gareth Rees
Publisher : Cambridge University Press
Page : 362 pages
File Size : 42,6 Mb
Release : 2001-09-13
Category : Science
ISBN : 0521669480
Revised and expanded second edition introduction to remote sensing for students and researchers.
Author : W. G. Rees
Publisher : Cambridge University Press
Page : 461 pages
File Size : 46,9 Mb
Release : 2012-11-29
Category : Technology & Engineering
ISBN : 9781139851374
Fully updated and containing significant new material on photography, laser profiling and image processing, the third edition of this popular textbook covers a broad range of remote sensing applications and techniques across the Earth, environmental and planetary sciences. It focuses on physical principles, giving students a deeper understanding of remote sensing systems and their possibilities, while remaining accessible to those with less mathematical training by providing a step-by-step approach to quantitative topics. Boxed examples, additional photos and numerous colour images engage students and show them how the theory relates to the many real-world applications. Chapter summaries, review questions and additional problems allow students to check their understanding of key concepts and practise handling real data for themselves. Supplementary online material includes links to freely available software, animations, computer programs, colour images and other web-based resources of interest.
Author : Eric C. Barrett,Leonard F. Curtis
Publisher : Routledge
Page : 540 pages
File Size : 45,5 Mb
Release : 2013-05-13
Category : Science
ISBN : 9781134982523
Taking a detailed, non-mathematical approach to the principles on which remote sensing is based, this book progresses from the physical principles to the application of remote sensing.
Author : Gareth Rees
Publisher : Cambridge University Press
Page : 461 pages
File Size : 50,8 Mb
Release : 2013
Category : Science
ISBN : 9781107004733
A quantitative yet accessible introduction to remote sensing techniques, this new edition covers a broad spectrum of Earth science applications.
Author : Hamlyn G Jones,Robin A Vaughan
Publisher : Oxford University Press, USA
Page : 381 pages
File Size : 42,8 Mb
Release : 2010-07-15
Category : Gardening
ISBN : 9780199207794
An accessible yet rigorous introduction to remote sensing and its application to the study of vegetation for advanced undergraduate and graduate students. The underlying physical and mathematical principles of the techniques disucussed are explained in a way readily understood by those without a strong mathematical background.
Author : S. Twomey
Publisher : Courier Dover Publications
Page : 259 pages
File Size : 40,8 Mb
Release : 2019-05-15
Category : Science
ISBN : 9780486832982
In this graduate-level monograph, S. Twomey, a professor of atmospheric sciences, develops the background and fundamental theory of inversion processes used in remote sensing — e.g., atmospheric temperature structure measurements from satellites—starting at an elementary level. The text opens with examples of inversion problems from a variety of disciplines, showing that the same problem—solution of a Fredholm linear integral equation of the first kind — is involved in every instance. A discussion of the reduction of such integral equations to a system of linear algebraic equations follows. Subsequent chapters examine methods for obtaining stable solutions at the expense of introducing constraints in the solution, the derivation of other inversion procedures, and the detailed analysis of the information content of indirect measurements. Each chapter begins with a discussion that outlines problems and questions to be covered, and a helpful Appendix includes suggestions for further reading.
Author : Shunlin Liang
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 45,8 Mb
Release : 2005-03-11
Category : Technology & Engineering
ISBN : 9780471723714
Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
Author : Anonim
Publisher : Unknown
Page : 243 pages
File Size : 52,5 Mb
Release : 1977
Category : Electronic
ISBN : OCLC:471621271
Author : S. R. Brooks
Publisher : Oxford University Press, USA
Page : 424 pages
File Size : 44,7 Mb
Release : 1989
Category : Mathematics
ISBN : UOM:39015016941778
This volume presents an up-to-date survey of the mathematical techniques of use in the generation of data and extraction of information from satellite observation. It presents a state-of-the-art account of what is possible with today's mathematical tools and offers a perspective on the capabilities of future remote sensing systems.
Author : George Joseph
Publisher : Universities Press
Page : 522 pages
File Size : 51,5 Mb
Release : 2005
Category : Technology & Engineering
ISBN : 8173715351
This book presents the fundamental concepts covering various stages of remote sensing from data collection to end utilization, so that it can be appreciated irrespective of the discipline in which the reader has graduated. The physical principles on which remote sensing are based has been explained without getting into complicated mathematical equations.
Author : Eugene A. Ustinov
Publisher : Springer
Page : 128 pages
File Size : 46,9 Mb
Release : 2015-04-01
Category : Science
ISBN : 9783319158419
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.
Author : Anonim
Publisher : Unknown
Page : 250 pages
File Size : 53,6 Mb
Release : 2004
Category : Electronic
ISBN : 9061642272
Author : Morton John Canty
Publisher : CRC Press
Page : 333 pages
File Size : 53,7 Mb
Release : 2019-03-11
Category : Technology & Engineering
ISBN : 9780429875342
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy, platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty’s fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.