Remote Sensing Image Classification In R

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Remote Sensing Image Classification in R

Author : Courage Kamusoko
Publisher : Springer
ISBN 13 : 9811380120
Total Pages : 189 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Remote Sensing Image Classification in R by : Courage Kamusoko

Download or read book Remote Sensing Image Classification in R written by Courage Kamusoko and published by Springer. This book was released on 2019-07-24 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification. R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R.

Remote Sensing Data Analysis in R

Author : Alka Rani
Publisher : CRC Press
ISBN 13 : 9780367725624
Total Pages : 364 pages
Book Rating : 4.7/5 (256 download)

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Book Synopsis Remote Sensing Data Analysis in R by : Alka Rani

Download or read book Remote Sensing Data Analysis in R written by Alka Rani and published by CRC Press. This book was released on 2021-02-24 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis - more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software. Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

Remote Sensing Data Analysis Using R

Author : Alka Rani
Publisher : New India Publishing Agency
ISBN 13 : 9389571790
Total Pages : 5 pages
Book Rating : 4.3/5 (895 download)

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Book Synopsis Remote Sensing Data Analysis Using R by : Alka Rani

Download or read book Remote Sensing Data Analysis Using R written by Alka Rani and published by New India Publishing Agency. This book was released on 2021-08-09 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive guided tour to the users for performing remote sensing and GIS operations in free and open source software i.e. R. This book is suitable for the users who have basic knowledge of remote sensing and GIS, but no or little knowledge about R software. It introduces the R software to users along with the procedures for its downloading and installation. It provides R-codes for loading and plotting of both raster and vector data; pre-processing, filtering, enhancement and transformations of raster data; processing of vector data; unsupervised and supervised classification of raster data; and thematic mapping of both raster and vector data. In addition to it, this book provides R-codes for performing advanced machine learning algorithms like random forest, support vector machine, etc. for supervised classification of raster data. This book is apt for the users who don’t have access to the sophisticated paid software of GIS and digital image processing. Sample data for practice is provided in an additional DVD so that users can get hands on training of the R-codes given in this book. This book can serve as a training manual for performing digital image analysis and GIS operations in R software.

Remote Sensing and Digital Image Processing with R - Lab Manual

Author : Marcelo de Carvalho Alves
Publisher : CRC Press
ISBN 13 : 1000895440
Total Pages : 224 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Remote Sensing and Digital Image Processing with R - Lab Manual by : Marcelo de Carvalho Alves

Download or read book Remote Sensing and Digital Image Processing with R - Lab Manual written by Marcelo de Carvalho Alves and published by CRC Press. This book was released on 2023-06-30 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest. Features Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages. Engages students in learning theory through hands-on real-life projects. All chapters are structured with solved exercises and homework and encourage readers to understand the potential and the limitations of the environments. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information. Undergraduate- and graduate-level students will benefit from the exercises in this Lab Manual, because they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding and first-hand experience with remote sensing and digital processing, with a learn-by-doing methodology using applicable examples in natural resources.

Remote Sensing and Digital Image Processing with R

Author : Marcelo de Carvalho Alves
Publisher : CRC Press
ISBN 13 : 100089536X
Total Pages : 537 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Remote Sensing and Digital Image Processing with R by : Marcelo de Carvalho Alves

Download or read book Remote Sensing and Digital Image Processing with R written by Marcelo de Carvalho Alves and published by CRC Press. This book was released on 2023-06-30 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources, and research suggestions. Features Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Includes case studies from different environments with free software algorithms and an R toolset for active learning and a learn-by-doing approach. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets, and process. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques. While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in remote sensing, geoprocessing, civil and environmental engineering, geosciences, environmental sciences, electrical engineering, biology, and hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.

Remote Sensing and Digital Image Processing with R - Lab Manual

Author : Marcelo de Carvalho Alves
Publisher : CRC Press
ISBN 13 : 1000895394
Total Pages : 189 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Remote Sensing and Digital Image Processing with R - Lab Manual by : Marcelo de Carvalho Alves

Download or read book Remote Sensing and Digital Image Processing with R - Lab Manual written by Marcelo de Carvalho Alves and published by CRC Press. This book was released on 2023-06-30 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest. Features Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages. Engages students in learning theory through hands-on real-life projects. All chapters are structured with solved exercises and homework and encourage readers to understand the potential and the limitations of the environments. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information. Undergraduate- and graduate-level students will benefit from the exercises in this Lab Manual, because they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding and first-hand experience with remote sensing and digital processing, with a learn-by-doing methodology using applicable examples in natural resources.

Earth Observation Data Cubes

Author : Gregory Giuliani
Publisher :
ISBN 13 : 9783039280933
Total Pages : 302 pages
Book Rating : 4.2/5 (89 download)

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Book Synopsis Earth Observation Data Cubes by : Gregory Giuliani

Download or read book Earth Observation Data Cubes written by Gregory Giuliani and published by . This book was released on 2020 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10.

Remote Sensing Image Analysis: Including the Spatial Domain

Author : Steven M. de Jong
Publisher : Springer Science & Business Media
ISBN 13 : 1402025602
Total Pages : 359 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Remote Sensing Image Analysis: Including the Spatial Domain by : Steven M. de Jong

Download or read book Remote Sensing Image Analysis: Including the Spatial Domain written by Steven M. de Jong and published by Springer Science & Business Media. This book was released on 2007-07-26 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Robert A. Schowengerdt
Publisher : Elsevier
ISBN 13 : 0080516106
Total Pages : 522 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Remote Sensing by : Robert A. Schowengerdt

Download or read book Remote Sensing written by Robert A. Schowengerdt and published by Elsevier. This book was released on 2012-12-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Satellite Image Analysis: Clustering and Classification

Author : Surekha Borra
Publisher : Springer
ISBN 13 : 9811364249
Total Pages : 97 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Satellite Image Analysis: Clustering and Classification by : Surekha Borra

Download or read book Satellite Image Analysis: Clustering and Classification written by Surekha Borra and published by Springer. This book was released on 2019-02-08 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
ISBN 13 : 3662024624
Total Pages : 297 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Remote Sensing Digital Image Analysis by : John A. Richards

Download or read book Remote Sensing Digital Image Analysis written by John A. Richards and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 142006665X
Total Pages : 417 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Image Processing for Remote Sensing by : C.H. Chen

Download or read book Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2007-10-17 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

Mathematical Models for Remote Sensing Image Processing

Author : Gabriele Moser
Publisher : Springer
ISBN 13 : 3319663305
Total Pages : 441 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Mathematical Models for Remote Sensing Image Processing by : Gabriele Moser

Download or read book Mathematical Models for Remote Sensing Image Processing written by Gabriele Moser and published by Springer. This book was released on 2017-11-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.

Optical and SAR Remote Sensing of Urban Areas

Author : Courage Kamusoko
Publisher : Springer Nature
ISBN 13 : 9811651493
Total Pages : 126 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Optical and SAR Remote Sensing of Urban Areas by : Courage Kamusoko

Download or read book Optical and SAR Remote Sensing of Urban Areas written by Courage Kamusoko and published by Springer Nature. This book was released on 2021-12-02 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces remotely sensed image processing for urban areas using optical and synthetic aperture radar (SAR) data and assists students, researchers, and remote sensing practitioners who are interested in land cover mapping using such data. There are many introductory and advanced books on optical and SAR remote sensing image processing, but most of them do not serve as good practical guides. However, this book is designed as a practical guide and a hands-on workbook, where users can explore data and methods to improve their land cover mapping skills for urban areas. Although there are many freely available earth observation data, the focus is on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. All remotely sensed image processing and classification procedures are based on open-source software applications such QGIS and R as well as cloud-based platforms such as Google Earth Engine (GEE). The book is organized into six chapters. Chapter 1 introduces geospatial machine learning, and Chapter 2 covers exploratory image analysis and transformation. Chapters 3 and 4 focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 discusses mapping urban land cover using multi-seasonal Sentinel-1 and Sentinel-2 imagery as well as other derived data such as spectral and texture indices. Chapter 6 concludes the book with land cover classification accuracy assessment.

Re-envisioning Remote Sensing Applications

Author : Ripudaman Singh
Publisher : CRC Press
ISBN 13 : 1000347184
Total Pages : 254 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Re-envisioning Remote Sensing Applications by : Ripudaman Singh

Download or read book Re-envisioning Remote Sensing Applications written by Ripudaman Singh and published by CRC Press. This book was released on 2021-03-05 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Re-envisioning Remote Sensing Applications: Perspectives from Developing Countries aims at discussing varied applications of remote sensing, with respect to upcoming technologies with diverse themes. Organized into four sections of overlapping areas of research, the book covers chapters with themes related to agriculture, soil and land degradation studies; hydrology, microclimates and climate change impacts; land use/land cover analysis applications; resource analysis and bibliometric studies, culminating with future research agenda. All the topics are supported via case studies and spatial data analysis. Features: Provides the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, microclimates, and climate change impacts Covers remote sensing applications in broad areas of agriculture, hydrology, land use/land cover change and resource analysis Discusses usage of GPS-enabled smartphones and digital gadgets used for mapping and spatial analysis Explores future research agenda for applications of remote sensing in post-COVID scenario This book is of interest to researchers and graduate students in environmental sciences, remote sensing, GIS, agricultural scientists and managers, forestry scientists and managers, and water resources scientists and managers.

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images

Author : Yakoub Bazi
Publisher : MDPI
ISBN 13 : 3036509860
Total Pages : 438 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images by : Yakoub Bazi

Download or read book Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images written by Yakoub Bazi and published by MDPI. This book was released on 2021-06-15 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.

Remotely Sensed Data Characterization, Classification, and Accuracies

Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
ISBN 13 : 1482217872
Total Pages : 698 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Remotely Sensed Data Characterization, Classification, and Accuracies by : Ph.D., Prasad S. Thenkabail

Download or read book Remotely Sensed Data Characterization, Classification, and Accuracies written by Ph.D., Prasad S. Thenkabail and published by CRC Press. This book was released on 2015-10-02 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of