Remote Sensing and GIS Accuracy Assessment, 

Автор: Gutierrez JosГ© A., Armstrong Brian S.R.
Название: Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy
ISBN: 1846289122 ISBN-13(EAN): 9781846289125
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment, part inspection and photogrammetry, among others. In all these applications, landmarks are detected and located in images, and measurements made from those locations.Precision Landmark Location for Machine Vision and Photogrammetry addresses the ubiquitous problem of measurement error associated with determining the location of landmarks in images. With a detailed model of the image formation process and landmark location estimation, the CramГ©r–Rao Lower Bound (CRLB) theory of statistics is applied to determine the least possible measurement uncertainty in a given situation.This monograph provides the reader with:• the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing;• detailed theoretical treatment of the CRLB;• a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations;• two novel algorithms which achieve precision very close to the CRLB;• an experimental method for determining the accuracy of landmark location;• downloadable MATLABВ® package to assist the reader with applying theoretically-derived results to practical engineering configurations.All of this adds up to a treatment that is at once theoretically sound and eminently practical.Precision Landmark Location for Machine Vision and Photogrammetry will be of great interest to computer scientists and engineers working with and/or studying image processing and measurement. It includes cutting-edge theoretical developments and practical tools so it will appeal to research investigators and system designers.

Автор: Manjunath V. Joshi
Название: Multi-resolution Image Fusion in Remote Sensing
ISBN: 1108475124 ISBN-13(EAN): 9781108475129
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: Presenting new advances in the field, this text will be a valuable reference for the students and researchers of image processing, multi-spectral imaging and remote sensing. It discusses tools and techniques of multi resolution image fusion with the necessary mathematical background.

Автор: O`Malley Martin
Название: Smarter Government: Governing for Results in the Information Age
ISBN: 1589485246 ISBN-13(EAN): 9781589485242
Издательство: Mare Nostrum (Eurospan)
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Цена: 6653.00 р.
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Описание: Presents a more effective way to lead that is emerging, enabled by the "Information Age". This book provides real solutions to real problems using GIS technology and helps develop a management strategy using data that will profoundly change an organisation.

Автор: by Russell G Congalton
Название: Assessing the Accuracy of Remotely Sensed Data
ISBN: 0367656671 ISBN-13(EAN): 9780367656676
Издательство: Taylor&Francis
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Цена: 7501.00 р.
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Описание: The field of assessing the accuracy of maps derived from remotely sensed data has continued to develop and mature since the first edition of this book in 1999. The third edition will have all chapters reviewed and updated with any new information available today. It will include a redo of spatial accuracy chapter to update for new ASPRS standard

Автор: Rainer Wehrse
Название: Accuracy of Element Abundances from Stellar Atmospheres
ISBN: 366213781X ISBN-13(EAN): 9783662137819
Издательство: Springer
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Цена: 15672.00 р.
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Описание: To get a reasonably realistic picture of the structure and evolution of stars one needs to know accurately the abundances of chemical elements and their isotopes in the stellar atmosphere and in the galactic environment of the stars.

Автор: Harder Christian, Wright Dawn J.
Название: GIS for Science: How Mapping and Spatial Analysis Advance Scientific Research
ISBN: 1589485300 ISBN-13(EAN): 9781589485303
Издательство: Mare Nostrum (Eurospan)
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Цена: 6653.00 р.
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Описание: Presents a collection of real-world stories about modern science and a cadre of scientists who use mapping and spatial analytics to expand their understanding of the world. These stories present GIS ideas and inspiration that users can apply across many disciplines, making this volume relevant to a diverse scientific audience.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: Hu, Yujie (university Of South Florida, Tampa) Wan
Название: Gis-based simulation and analysis of intra-urban commuting
ISBN: 0367023032 ISBN-13(EAN): 9780367023034
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: This book presents GIS-based simulation, optimization and statistical approaches to measure, map, analyze, and explain commuting patterns including commuting length and efficiency. Several GIS-automated easy-to-use tools will be available, along with sample data, for readers to download and apply to their own studies.

Автор: Prasad S. Thenkabail
Название: Hyperspectral remote sensing of vegetation /
ISBN: 1138066257 ISBN-13(EAN): 9781138066250
Издательство: Taylor&Francis
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Цена: 76560.00 р.
Наличие на складе: Нет в наличии.

Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.