Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Title Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing PDF eBook
Author Hyung-Sup Jung
Publisher MDPI
Pages 438
Release 2019-09-03
Genre Technology & Engineering
ISBN 303921215X

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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.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Title Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing PDF eBook
Author Hyung-Sup Jung
Publisher
Pages 1
Release 2019
Genre Electronic books
ISBN 9783039212163

Download Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing Book in PDF, Epub and Kindle

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.

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
Title Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation PDF eBook
Author Maria Pia Del Rosso
Publisher IET
Pages 283
Release 2021-09-14
Genre Computers
ISBN 1839532122

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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.

Deep Learning for the Earth Sciences

Deep Learning for the Earth Sciences
Title Deep Learning for the Earth Sciences PDF eBook
Author Gustau Camps-Valls
Publisher John Wiley & Sons
Pages 436
Release 2021-08-18
Genre Technology & Engineering
ISBN 1119646162

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DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

Machine Learning and Artificial Intelligence in Geosciences

Machine Learning and Artificial Intelligence in Geosciences
Title Machine Learning and Artificial Intelligence in Geosciences PDF eBook
Author
Publisher Academic Press
Pages 318
Release 2020-09-22
Genre Science
ISBN 0128216840

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Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - Provides high-level reviews of the latest innovations in geophysics - Written by recognized experts in the field - Presents an essential publication for researchers in all fields of geophysics

Application of Artificial Neural Networks in Geoinformatics

Application of Artificial Neural Networks in Geoinformatics
Title Application of Artificial Neural Networks in Geoinformatics PDF eBook
Author Saro Lee
Publisher MDPI
Pages 229
Release 2018-04-09
Genre Science
ISBN 303842742X

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This book is a printed edition of the Special Issue "Application of Artificial Neural Networks in Geoinformatics" that was published in Applied Sciences

Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
Title Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS PDF eBook
Author Chang-Wook Lee
Publisher Mdpi AG
Pages 166
Release 2021-11-11
Genre Science
ISBN 9783036516042

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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.