Author:
Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 32
Book Description
Evaluation of Several Schemes for Classification of Remotely Sensed Data
Author:
Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 32
Book Description
Publisher:
ISBN:
Category : Remote sensing
Languages : en
Pages : 32
Book Description
Classification Methods for Remotely Sensed Data
Author: Paul Mather
Publisher: 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
Publisher: 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. Campbell
Publisher: 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This book has been replaced by Introduction to Remote Sensing, Sixth Edition, 978-1-4625-4940-5.
Publisher: 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This book has been replaced by Introduction to Remote Sensing, Sixth Edition, 978-1-4625-4940-5.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. Campbell
Publisher: 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. ?
Publisher: 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. Congalton
Publisher: 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
Publisher: 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 : 758
Book Description
Publisher:
ISBN:
Category : Astronautics in earth sciences
Languages : en
Pages : 758
Book Description
Kernel Methods for Remote Sensing Data Analysis
Author: Gustau Camps-Valls
Publisher: 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.
Publisher: 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.
Agriculture and Resources Inventory Surveys Through Aerospace Remote Sensing
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
Book Description
Fundamentals of Satellite Remote Sensing
Author: Emilio Chuvieco
Publisher: CRC Press
ISBN: 1498728073
Category : Science
Languages : en
Pages : 478
Book Description
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Second Edition is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes co
Publisher: CRC Press
ISBN: 1498728073
Category : Science
Languages : en
Pages : 478
Book Description
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Second Edition is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes co
Remote Sensing Geology
Author: Ravi P. Gupta
Publisher: Springer Science & Business Media
ISBN: 3662129140
Category : Science
Languages : en
Pages : 511
Book Description
There has been phenomenal growth in the field of remote sensing over the last two to three decades. It has been applied in the fields of geology, mineral exploration, forestry, agriculture, hydrology, soils, land use etc. - that is, in all pursuits of sciences dealing with the features, processes, and phenomena operating at the earth's surface. The status of geological remote sensing has rapidly advanced and the scientific literature is scattered. The aim of the present book is to systematically discuss the specific requirements of geological remote sensing, to summarize the techniques of remote sensing data collection and interpretation, and to integrate the technique into geoexploration. The main conceptual features of the book are: - To combine various aspects of geological remote sensing, ranging from the laboratory spectra of minerals and rocks to aerial and space-borne remote sensmg. - To integrate photogeology into remote sensing. - To promote remote sensing as a tool in integrated geoexploration. - To elucidate the wide-spectrum geoscientific applications of remote sensing, ranging from meso- to global scale. The book has been written to satisfy the needs of mainly graduate students and active research workers interested in applied earth sciences. It is primarily concept -oriented rather than system- or module-oriented.
Publisher: Springer Science & Business Media
ISBN: 3662129140
Category : Science
Languages : en
Pages : 511
Book Description
There has been phenomenal growth in the field of remote sensing over the last two to three decades. It has been applied in the fields of geology, mineral exploration, forestry, agriculture, hydrology, soils, land use etc. - that is, in all pursuits of sciences dealing with the features, processes, and phenomena operating at the earth's surface. The status of geological remote sensing has rapidly advanced and the scientific literature is scattered. The aim of the present book is to systematically discuss the specific requirements of geological remote sensing, to summarize the techniques of remote sensing data collection and interpretation, and to integrate the technique into geoexploration. The main conceptual features of the book are: - To combine various aspects of geological remote sensing, ranging from the laboratory spectra of minerals and rocks to aerial and space-borne remote sensmg. - To integrate photogeology into remote sensing. - To promote remote sensing as a tool in integrated geoexploration. - To elucidate the wide-spectrum geoscientific applications of remote sensing, ranging from meso- to global scale. The book has been written to satisfy the needs of mainly graduate students and active research workers interested in applied earth sciences. It is primarily concept -oriented rather than system- or module-oriented.