Author: Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 32
Book Description
Evaluation of Several Schemes for Classification of Remotely Sensed Data
Author: Classification Methods for Remotely Sensed Data
Author: Paul MatherPublisher: CRC Press
ISBN: 9780203303566
Category : Technology & Engineering
Languages : en
Pages : 358
Book Description
Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pul
Introduction to Remote Sensing, Fifth Edition
Author: James B. CampbellPublisher: Guilford Press
ISBN: 1609181778
Category : Science
Languages : en
Pages : 717
Book Description
This book has been replaced by Introduction to Remote Sensing, Sixth Edition, 978-1-4625-4940-5.
Introduction to Remote Sensing
Author: James B. CampbellPublisher: Guilford Press
ISBN: 160918176X
Category : Science
Languages : en
Pages : 717
Book Description
A leading text for undergraduate- and graduate-level courses, this book introduces widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. The text provides comprehensive coverage of principal topics and serves as a framework for organizing the vast amount of remote sensing information available on the Web. Including case studies and review questions, the book's four sections and 21 chapters are carefully designed as independent units that instructors can select from as needed for their courses. Illustrations include 29 color plates and over 400 black-and-white figures. New to This Edition *Reflects significant technological and methodological advances. *Chapter on aerial photography now emphasizes digital rather than analog systems. *Updated discussions of accuracy assessment, multitemporal change detection, and digital preprocessing. *Links to recommended online videos and tutorials. ?
Assessing the Accuracy of Remotely Sensed Data
Author: Russell G. CongaltonPublisher: CRC Press
ISBN: 1420055135
Category : Mathematics
Languages : en
Pages : 210
Book Description
Accuracy assessment of maps derived from remotely sensed data has continued to grow since the first edition of this groundbreaking book. As a result, the much-anticipated new edition is significantly expanded and enhanced to reflect growth in the field. The new edition features three new chapters, including: Fuzzy accuracy assessmentPositional accu
Earth Resources
Author: Publisher:
ISBN:
Category : Astronautics in earth sciences
Languages : en
Pages : 988
Book Description
Agriculture and Resources Inventory Surveys Through Aerospace Remote Sensing
Author: Earth Resources
Author: Publisher:
ISBN:
Category : Astronautics in earth sciences
Languages : en
Pages : 668
Book Description
A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International Aerospace Abstracts (IAA).
Kernel Methods for Remote Sensing Data Analysis
Author: Gustau Camps-VallsPublisher: John Wiley & Sons
ISBN: 0470749008
Category : Technology & Engineering
Languages : en
Pages : 434
Book Description
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Author: James Richard AndersonPublisher:
ISBN:
Category : Land cover
Languages : en
Pages : 36
Book Description