Subpixel Mapping For Remote Sensing Images

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Subpixel Mapping for Remote Sensing Images

Peng Wang,Lei Zhang
Subpixel Mapping for Remote Sensing Images Book PDF

Author : Peng Wang,Lei Zhang
Publisher : CRC Press
Page : 283 pages
File Size : 47,8 Mb
Release : 2022-12-15
Category : Technology & Engineering
ISBN : 9781000820744

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Subpixel Mapping for Remote Sensing Images by Peng Wang,Lei Zhang Pdf

Subpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data. This book will be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields.

Learning to Understand Remote Sensing Images

Qi Wang
Learning to Understand Remote Sensing Images Book PDF

Author : Qi Wang
Publisher : MDPI
Page : 376 pages
File Size : 45,9 Mb
Release : 2019-09-30
Category : Computers
ISBN : 9783038976981

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Learning to Understand Remote Sensing Images by Qi Wang Pdf

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Hyperspectral Image Processing

Liguo Wang,Chunhui Zhao
Hyperspectral Image Processing Book PDF

Author : Liguo Wang,Chunhui Zhao
Publisher : Springer
Page : 315 pages
File Size : 46,5 Mb
Release : 2015-07-15
Category : Technology & Engineering
ISBN : 9783662474563

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Hyperspectral Image Processing by Liguo Wang,Chunhui Zhao Pdf

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

Remote Sensing Image Analysis: Including the Spatial Domain

Steven M. de Jong,Freek D. van der Meer
Remote Sensing Image Analysis Including the Spatial Domain Book PDF

Author : Steven M. de Jong,Freek D. van der Meer
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 45,5 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.

Intelligent Science and Intelligent Data Engineering

Yanning Zhang,Zhi-Hua Zhou,Changshui Zhang,Ying Li
Intelligent Science and Intelligent Data Engineering Book PDF

Author : Yanning Zhang,Zhi-Hua Zhou,Changshui Zhang,Ying Li
Publisher : Springer
Page : 772 pages
File Size : 51,8 Mb
Release : 2012-07-23
Category : Computers
ISBN : 9783642319198

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Intelligent Science and Intelligent Data Engineering by Yanning Zhang,Zhi-Hua Zhou,Changshui Zhang,Ying Li Pdf

This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi'an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Pramod K. Varshney,Manoj K. Arora
Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data Book PDF

Author : Pramod K. Varshney,Manoj K. Arora
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 42,9 Mb
Release : 2013-03-09
Category : Science
ISBN : 9783662056059

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Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney,Manoj K. Arora Pdf

The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

2014 International Conference on Information GIS and Resource Management

Anonim
2014 International Conference on Information GIS and Resource Management Book PDF

Author : Anonim
Publisher : DEStech Publications, Inc
Page : 464 pages
File Size : 49,5 Mb
Release : 2014-02-03
Category : Computers
ISBN : 9781605951478

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2014 International Conference on Information GIS and Resource Management by Anonim Pdf

The 2014 International Conference on Information GIS and Resource Management (ICGRM2014) was held in Guangzhou, China, from January 3 to January 5, 2014. ICGRM2014 aims to bring researchers, engineers, and students to the areas of GIS and Resource Management. ICGRM2014 features unique mixed topics of Computer Science, Earth Science, Surveying and Mapping, and Resources and Environment Science in the context of building healthier ecology and environment. The conference will provide a forum for sharing experiences and original research contributions on those topics. The proceedings of ICGRM2014 tends to collect the up-to-date, comprehensive and worldwide state-of-art knowledge on GIS and resource management. All of accepted papers were subjected to strict peer-reviewing by 2-4 expert referees. The papers have been selected for this proceedings based on originality, significance, and clarity for the purpose of the conference. The selected papers and additional late-breaking contributions to be presented will make an exciting technical program on conference. The conference program is extremely rich, featuring high-impact presentation. We hope this conference will not only provide the participants a broad overview of the latest research results on GIS and resource management, but also provide the participants a significant platform to build academic connections. The Technical Program Committee worked very hard to have all papers reviewed before the review deadline. The final technical program consists of 57 papers which are divided into four sessions. The proceedings were published as a volume in by DEStech publishing Inc

Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition

Anonim
Issues in Analysis Measurement Monitoring Imaging and Remote Sensing Technology 2011 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 3729 pages
File Size : 52,8 Mb
Release : 2012-01-09
Category : Science
ISBN : 9781464963841

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Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition by Anonim Pdf

Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology. The editors have built Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Soft Computing: Theories and Applications

Millie Pant,Tarun K. Sharma,Om Prakash Verma,Rajesh Singla,Afzal Sikander
Soft Computing Theories and Applications Book PDF

Author : Millie Pant,Tarun K. Sharma,Om Prakash Verma,Rajesh Singla,Afzal Sikander
Publisher : Springer Nature
Page : 1452 pages
File Size : 45,5 Mb
Release : 2020-02-24
Category : Technology & Engineering
ISBN : 9789811507519

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Soft Computing: Theories and Applications by Millie Pant,Tarun K. Sharma,Om Prakash Verma,Rajesh Singla,Afzal Sikander Pdf

The book focuses on soft computing and its applications to solve real-world problems in different domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It includes high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2018), organized by Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Offering significant insights into soft computing for teachers and researchers alike, the book inspires more researchers to work in the field of soft computing.

Remote Sensing Image Fusion

Christine Pohl,John van Genderen
Remote Sensing Image Fusion Book PDF

Author : Christine Pohl,John van Genderen
Publisher : CRC Press
Page : 289 pages
File Size : 53,8 Mb
Release : 2016-10-03
Category : Technology & Engineering
ISBN : 9781498730037

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Remote Sensing Image Fusion by Christine Pohl,John van Genderen Pdf

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Signal and Image Processing for Remote Sensing

C.H. Chen
Signal and Image Processing for Remote Sensing Book PDF

Author : C.H. Chen
Publisher : CRC Press
Page : 603 pages
File Size : 49,6 Mb
Release : 2012-02-22
Category : Computers
ISBN : 9781439855973

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Signal and Image Processing for Remote Sensing by C.H. Chen Pdf

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting info

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Anil Kumar,Priyadarshi Upadhyay,A. Senthil Kumar
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification Book PDF

Author : Anil Kumar,Priyadarshi Upadhyay,A. Senthil Kumar
Publisher : CRC Press
Page : 177 pages
File Size : 43,7 Mb
Release : 2020-07-19
Category : Computers
ISBN : 9781000091540

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification by Anil Kumar,Priyadarshi Upadhyay,A. Senthil Kumar Pdf

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

Agro-geoinformatics

Liping Di,Berk Üstündağ
Agro geoinformatics Book PDF

Author : Liping Di,Berk Üstündağ
Publisher : Springer Nature
Page : 418 pages
File Size : 41,8 Mb
Release : 2021-04-12
Category : Science
ISBN : 9783030663872

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Agro-geoinformatics by Liping Di,Berk Üstündağ Pdf

This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.

Remote Sensing of Landscapes with Spectral Images

John B. Adams,Alan R. Gillespie
Remote Sensing of Landscapes with Spectral Images Book PDF

Author : John B. Adams,Alan R. Gillespie
Publisher : Cambridge University Press
Page : 128 pages
File Size : 53,7 Mb
Release : 2006-05-11
Category : Technology & Engineering
ISBN : 9781316582763

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Remote Sensing of Landscapes with Spectral Images by John B. Adams,Alan R. Gillespie Pdf

Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge the gap between the engineering and theoretical sides of remote-sensing and the world that we encounter when we venture outdoors. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. The reader is led through analysis of real images (using figures and explanations); the examples are chosen to illustrate important aspects of the analytic framework. This textbook will form a valuable reference for graduate students and professionals in a variety of disciplines including ecology, forestry, geology, geography, urban planning, archaeology and civil engineering. It is supplemented by a website hosting digital colour versions of figures in the book as well as ancillary images: www.cambridge.org/9780521662214.

Machine Vision and Advanced Image Processing in Remote Sensing

Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moons
Machine Vision and Advanced Image Processing in Remote Sensing Book PDF

Author : Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moons
Publisher : Springer Science & Business Media
Page : 339 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642601057

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Machine Vision and Advanced Image Processing in Remote Sensing by Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moons Pdf

Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.