Remote Sensing Image Analysis Including The Spatial Domain

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Remote Sensing Image Analysis: Including the Spatial Domain

Author : Steven M. de Jong,Freek D. van der Meer
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 54,7 Mb
Release : 2007-07-26
Category : Science
ISBN : 9781402025600

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Remote Sensing Image Analysis: Including the Spatial Domain by Steven M. de Jong,Freek D. van der Meer Pdf

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 50,8 Mb
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 9783642300622

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 53,7 Mb
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 9783662024621

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.

Remote Sensing Digital Image Analysis

Author : John Alan Richards
Publisher : Springer
Page : 368 pages
File Size : 46,8 Mb
Release : 1993
Category : Image processing
ISBN : UCSD:31822016442162

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Remote Sensing Digital Image Analysis by John Alan Richards Pdf

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter. This fourth edition has been developed to reflect the changes that have occurred in this area over the past several years. Its focus is on those procedures that seem now to have become part of the set of tools regularly used to perform thematic mapping. As with previous revisions, the fundamental material has been preserved in its original form because of its tutorial value; its style has been revised in places and it has been supplemented if newer aspects have emerged in the time since the third edition appeared. It still meets, however, the needs of the senior student and practitioner. Book jacket.

Object-Based Image Analysis

Author : Thomas Blaschke,Stefan Lang,Geoffrey Hay
Publisher : Springer Science & Business Media
Page : 804 pages
File Size : 44,6 Mb
Release : 2008-08-09
Category : Science
ISBN : 9783540770589

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Object-Based Image Analysis by Thomas Blaschke,Stefan Lang,Geoffrey Hay Pdf

This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

Remote Sensing Image Processing

Author : Gustavo Camps-Valls,Devis Tuia,Luis Gómez-Chova,Sandra Jiménez,Jesus Malo
Publisher : Springer Nature
Page : 242 pages
File Size : 40,8 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031022470

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Remote Sensing Image Processing by Gustavo Camps-Valls,Devis Tuia,Luis Gómez-Chova,Sandra Jiménez,Jesus Malo Pdf

Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / Classification / Spectral Mixture Analysis / Estimation of Physical Parameters

Digital Analysis of Remotely Sensed Imagery

Author : Jay Gao
Publisher : McGraw Hill Professional
Page : 689 pages
File Size : 53,5 Mb
Release : 2009-05-01
Category : Technology & Engineering
ISBN : 9780071604666

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Digital Analysis of Remotely Sensed Imagery by Jay Gao Pdf

An important text that identifies and introduces new trends in image analysis Digital Analysis of Remotely Sensed Imagery provides thorough coverage of the entire process of analyzing remotely sensed data for the purpose of producing accurate representations in thematic map format. Written in easy-to-follow language with minimal technical jargon, the book explores cutting-edge techniques and trends in image analysis, as well as the relationship between image processing and other recently emerged special technologies.

Remote Sensing Image Processing

Author : Gustavo Camps-Valls
Publisher : Morgan & Claypool Publishers
Page : 195 pages
File Size : 44,9 Mb
Release : 2011
Category : Computers
ISBN : 9781608458196

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Remote Sensing Image Processing by Gustavo Camps-Valls Pdf

Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / {Classification / Spectral Mixture Analysis / Estimation of Physical Parameters

Techniques for Image Processing and Classifications in Remote Sensing

Author : Robert A. Schowengerdt
Publisher : Academic Press
Page : 249 pages
File Size : 45,8 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323138550

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Techniques for Image Processing and Classifications in Remote Sensing by Robert A. Schowengerdt Pdf

Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification—spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Nature
Page : 576 pages
File Size : 51,5 Mb
Release : 2022-01-06
Category : Technology & Engineering
ISBN : 9783030823276

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.

Remote Sensing Imagery

Author : Florence Tupin,Jordi Inglada,Jean-Marie Nicolas
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 54,6 Mb
Release : 2014-02-19
Category : Technology & Engineering
ISBN : 9781118898925

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Remote Sensing Imagery by Florence Tupin,Jordi Inglada,Jean-Marie Nicolas Pdf

Dedicated to remote sensing images, from their acquisition to theiruse in various applications, this book covers the global lifecycleof images, including sensors and acquisition systems, applicationssuch as movement monitoring or data assimilation, and image anddata processing. It is organized in three main parts. The first part presentstechnological information about remote sensing (choice of satelliteorbit and sensors) and elements of physics related to sensing(optics and microwave propagation). The second part presents imageprocessing algorithms and their specificities for radar or optical,multi and hyper-spectral images. The final part is devoted toapplications: change detection and analysis of time series,elevation measurement, displacement measurement and dataassimilation. Offering a comprehensive survey of the domain of remote sensingimagery with a multi-disciplinary approach, this book is suitablefor graduate students and engineers, with backgrounds either incomputer science and applied math (signal and image processing) orgeo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Herresearch interests include remote sensing imagery, image analysisand interpretation, three-dimensional reconstruction, and syntheticaperture radar, especially for urban remote sensingapplications. Jordi Inglada works at the Centre National d’ÉtudesSpatiales (French Space Agency), Toulouse, France, in the field ofremote sensing image processing at the CESBIO laboratory. He is incharge of the development of image processing algorithms for theoperational exploitation of Earth observation images, mainly in thefield of multi-temporal image analysis for land use and coverchange. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signaland Imaging department. His research interests include the modelingand processing of synthetic aperture radar images.

Techniques for Image Processing and Classifications in Remote Sensing

Author : Robert A. Schowengerdt
Publisher : Academic Press
Page : 284 pages
File Size : 53,6 Mb
Release : 1983
Category : Computers
ISBN : UOM:39015006068780

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Techniques for Image Processing and Classifications in Remote Sensing by Robert A. Schowengerdt Pdf

Digital image processing. Digital image classification. Remote sensing and image processing bibliography. Digital image data formats. The table look-up algorithm and interactive image processing. Examination quetions.

Image Registration for Remote Sensing

Author : Jacqueline Le Moigne,Nathan S. Netanyahu,Roger D. Eastman
Publisher : Cambridge University Press
Page : 515 pages
File Size : 54,7 Mb
Release : 2011-03-24
Category : Technology & Engineering
ISBN : 9781139494373

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Image Registration for Remote Sensing by Jacqueline Le Moigne,Nathan S. Netanyahu,Roger D. Eastman Pdf

This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.

Computer Processing of Remotely-Sensed Images

Author : Paul M. Mather
Publisher : John Wiley & Sons
Page : 350 pages
File Size : 48,8 Mb
Release : 2004-06-25
Category : Computers
ISBN : 0470849185

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Computer Processing of Remotely-Sensed Images by Paul M. Mather Pdf

Remotely-sensed images of the Earth provide information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over time. This text offers technical guidance to those involved in processing and classifying such data.

Remote Sensing

Author : Robert A. Schowengerdt
Publisher : Unknown
Page : 522 pages
File Size : 46,8 Mb
Release : 1997
Category : Image processing
ISBN : OCLC:840072723

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Remote Sensing by Robert A. Schowengerdt Pdf

This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.