Essential Image Processing And Gis For Remote Sensing
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Essential Image Processing And Gis For Remote Sensing
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Author : Jian Guo Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-10
Essential Image Processing And Gis For Remote Sensing written by Jian Guo Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-10 with Technology & Engineering categories.
Essential Image Processing and GIS for Remote Sensing is an accessible overview of the subject and successfully draws together these three key areas in a balanced and comprehensive manner. The book provides an overview of essential techniques and a selection of key case studies in a variety of application areas. Key concepts and ideas are introduced in a clear and logical manner and described through the provision of numerous relevant conceptual illustrations. Mathematical detail is kept to a minimum and only referred to where necessary for ease of understanding. Such concepts are explained through common sense terms rather than in rigorous mathematical detail when explaining image processing and GIS techniques, to enable students to grasp the essentials of a notoriously challenging subject area. The book is clearly divided into three parts, with the first part introducing essential image processing techniques for remote sensing. The second part looks at GIS and begins with an overview of the concepts, structures and mechanisms by which GIS operates. Finally the third part introduces Remote Sensing Applications. Throughout the book the relationships between GIS, Image Processing and Remote Sensing are clearly identified to ensure that students are able to apply the various techniques that have been covered appropriately. The latter chapters use numerous relevant case studies to illustrate various remote sensing, image processing and GIS applications in practice.
Image Processing And Gis For Remote Sensing
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Author : Jian Guo Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-21
Image Processing And Gis For Remote Sensing written by Jian Guo Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-21 with Technology & Engineering categories.
Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a “3 in 1” structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors’ own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard “Pan-sharpen” imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.
Remote Sensing Digital Image Analysis
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Author : John A. Richards
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-13
Remote Sensing Digital Image Analysis written by John A. Richards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Technology & Engineering categories.
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 Handbook Volume Ii
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Author : Prasad S Thenkabail
language : en
Publisher:
Release Date : 2024-11-28
Remote Sensing Handbook Volume Ii written by Prasad S Thenkabail and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Technology & Engineering categories.
Volume II of the Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use\land cover, croplands, and urban studies, processing hyperspectral remote sensing data, thermal imagery, LiDAR, geoprocessing workflows, frontiers of GIS Science and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers, at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. Features Provides the most up-to-date comprehensive coverage of digital image processing. Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing. Demonstrates practical examples of image processing for a myriad of applications such as land use\land cover, croplands, and urban. Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral. Highlights change detection, geoprocessing, and GIScience. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Remote Sensing Digital Image Analysis
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Author : John A. Richards
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Remote Sensing Digital Image Analysis written by John A. Richards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.
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.
Image Registration For Remote Sensing
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Author : Jacqueline Le Moigne
language : en
Publisher: Cambridge University Press
Release Date : 2011-03-24
Image Registration For Remote Sensing written by Jacqueline Le Moigne and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-24 with Technology & Engineering categories.
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.
Remote Sensing
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Author : Robert A. Schowengerdt
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Remote Sensing written by Robert A. Schowengerdt and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.
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.
Remote Sensing Time Series Image Processing
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Author : Qihao Weng
language : en
Publisher: CRC Press
Release Date : 2018-04-17
Remote Sensing Time Series Image Processing written by Qihao Weng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-17 with Science categories.
Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly growing need for remote sensing and Earth observation technology that enables monitoring of world’s natural resources and environments, managing exposure to natural and man-made risks and more frequently occurring disasters, and helping the sustainability and productivity of natural and human ecosystems. The improvement in temporal resolution/revisit allows for the large accumulation of images for a specific location, creating a possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series Image Processing brings together active and recognized authors in the field of time series image analysis and presents to the readers the current state of knowledge and its future directions. Divided into three parts, the first addresses methods and techniques for generating time series image datasets. In particular, it provides guidance on the selection of cloud and cloud shadow detection algorithms for various applications. Part II examines feature development and information extraction methods for time series imagery. It presents some key remote sensing-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series image processing in land cover change, disturbance attribution, vegetation dynamics, and urbanization. This book is intended for researchers, practitioners, and students in both remote sensing and imaging science. It can be used as a textbook by undergraduate and graduate students majoring in remote sensing, imaging science, civil and electrical engineering, geography, geosciences, planning, environmental science, land use, energy, and GIS, and as a reference book by practitioners and professionals in the government, commercial, and industrial sectors.
Textbook Of Remote Sensing And Geographical Information Systems
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Author : Kali Charan Sahu
language : en
Publisher: Atlantic Publishers & Dist
Release Date : 2007-12
Textbook Of Remote Sensing And Geographical Information Systems written by Kali Charan Sahu and has been published by Atlantic Publishers & Dist this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12 with Geographic information systems categories.
Remote Sensing Technology In India Started In The 1960S. Space Technology Was Developed During The 1970S And 1980S To Use Satellites And Sensors In The Areas Of Communication To Exploit Meteorological And Ground Resources. Like Some Other Developing Countries, India Could Bypass The Intermediate Technology Stage And Leapfrog Into The High Technology Area.India S First Satellite In Irs Series Was Irs-1A, Launched In March 1988 By A Russian Vostok Launch Vehicle. Our Space Technology Has Attained Momentum And Made Tremendous Achievements By Launching The Oceansat-1 For Ocean Resources Monitoring; Resourcesat-1 For Agricultural Applications; And Cartosat-1 With A High Resolution Panchromatic Camera For Cartographic Applications. In India, The Remote Sensing Technology Along With Geographic Information System (Gis) Is Widely Being Used For More Than Two Decades For Inventorying, Mapping And Monitoring Of Earth Resources, And For Mitigation And Management Of Natural Disasters. In Days To Come It Will Become The Most Powerful Tool For Management And Distribution Of Information For Various Purposes.This Book Is Solely Written To Meet The Requirements Of Undergraduate Courses In B.E. (Civil Engineering), B.Tech (Geoinformatics), The Postgraduate Courses And M.Tech In Remote Sensing, Postgraduate Diploma In Remote Sensing And Gis, And M.E (Geoinformatics) Of Various Universities And Institutions. Topics Are Covered With Adequate Tables And Illustrations Essential To An Introductory Text. The Book Offers Key Concepts With The Use Of Simple And Limited Mathematics. Digital Image Processing, Which Forms The Backbone Of The Book, Is Dealt With Special Care. The Book Explains Fundamental Basis Of Gis Technology, Spatial Data Modeling, Attributes Data Management, Gis Data Analysis And Modeling. It Will Also Serve As An Ideal Reference Book For Researchers In This Field And Practical Users Of This Technology.
Introductory Digital Image Processing
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Author : John R. Jensen
language : en
Publisher: Prentice Hall
Release Date : 2015-04-17
Introductory Digital Image Processing written by John R. Jensen and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-17 with Science categories.
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science. Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.