Artificial Intelligence Methods Applied To Urban Remote Sensing And Gis

Author : Chang-Wook Lee
Publisher :
ISBN 13 : 9783036516035
Total Pages : 165 pages
Book Rating : 4.34/5 ( download)

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Download or read book Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS. written by Chang-Wook Lee and published by . This book was released on 2021 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.

Author : Chang-Wook Lee
Publisher : Mdpi AG
ISBN 13 : 9783036516042
Total Pages : 166 pages
Book Rating : 4.42/5 ( download)

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Download or read book Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS written by Chang-Wook Lee and published by Mdpi AG. This book was released on 2021-11-11 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.

Author : Hyung-Sup Jung
Publisher : MDPI
ISBN 13 : 303921215X
Total Pages : 438 pages
Book Rating : 4.56/5 ( download)

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Download or read book Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing written by Hyung-Sup Jung and published by MDPI. This book was released on 2019-09-03 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Author : Song Gao
Publisher : CRC Press
ISBN 13 : 1003814921
Total Pages : 469 pages
Book Rating : 4.24/5 ( download)

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Download or read book Handbook of Geospatial Artificial Intelligence written by Song Gao and published by CRC Press. This book was released on 2023-12-29 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography. Features Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives Covers a wide range of GeoAI applications and case studies in practice Offers supplementary materials such as data, programming code, tools, and case studies Discusses the recent developments of GeoAI methods and tools Includes contributions written by top experts in cutting-edge GeoAI topics This book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

Author : Fatimazahra Barramou
Publisher : Springer Nature
ISBN 13 : 3030804585
Total Pages : 180 pages
Book Rating : 4.89/5 ( download)

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Download or read book Geospatial Intelligence written by Fatimazahra Barramou and published by Springer Nature. This book was released on 2021-11-10 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more. The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.

Author : Stan Openshaw
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.31/5 ( download)

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Download or read book Artificial Intelligence in Geography written by Stan Openshaw and published by John Wiley & Sons. This book was released on 1997-07-07 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique work introduces the basic principles of artificial intelligence with applications in geographical teaching and research, GIS, and planning. Written in an accessible, non-technical and witty style, this book marks the beginning of the Al revolution in geography with major implications for teaching and research. The authors provide an easy to understand basic introduction to Al relevant to geography. There are no special mathematical and statistical skills needed, indeed these might well be a hindrance. Al is a different way of looking at the world and it requires a willingness to experiment, and readers who are unhindered by the baggage of obsolete technologies and outmoded philosophies of science will probably do best. The text provides an introduction to expert systems, neural nets, genetic algorithms, smart systems and artificial life and shows how they are likely to transform geographical enquiry. A major methodological milestone in geography The first geographical book on artificial intelligence (Al) No need for previous mathematical or statistical skills/knowledge Accessible style makes a difficult subject available to a wide audience Stan Openshaw is one of the world? s leading researchers into geographical computing, spatial analysis and GIS.

Author : Saurabh Prasad
Publisher : Elsevier
ISBN 13 : 044319078X
Total Pages : 366 pages
Book Rating : 4.80/5 ( download)

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Download or read book Advances in Machine Learning and Image Analysis for GeoAI written by Saurabh Prasad and published by Elsevier. This book was released on 2024-06-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. Covers the latest machine learning and signal processing techniques that can effectively leverage geospatial imagery at scale Presents a variety of algorithmic frameworks, including variants of convolutional neural networks, multi-stream networks, Bayesian networks, and more Includes open-source code-base for algorithms described in each chapter

Author : Rustam B. Rustamov
Publisher : BoD – Books on Demand
ISBN 13 : 1838805044
Total Pages : 187 pages
Book Rating : 4.43/5 ( download)

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Download or read book Geographic Information Systems in Geospatial Intelligence written by Rustam B. Rustamov and published by BoD – Books on Demand. This book was released on 2020 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others.

Author : Basudeb Bhatta
Publisher : Springer Science & Business Media
ISBN 13 : 3642052991
Total Pages : 191 pages
Book Rating : 4.96/5 ( download)

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Download or read book Analysis of Urban Growth and Sprawl from Remote Sensing Data written by Basudeb Bhatta and published by Springer Science & Business Media. This book was released on 2010-03-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.

Author : Maria Pia Del Rosso
Publisher : IET
ISBN 13 : 1839532122
Total Pages : 283 pages
Book Rating : 4.22/5 ( download)

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Download or read book Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation written by Maria Pia Del Rosso and published by IET. This book was released on 2021-09-14 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.