Remote Sensing Intelligent Interpretation For Geology
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Remote Sensing Intelligent Interpretation For Geology
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Author : Weitao Chen
language : en
Publisher: Springer Nature
Release Date : 2024-01-03
Remote Sensing Intelligent Interpretation For Geology written by Weitao Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Science categories.
This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
Remote Sensing Intelligent Interpretation For Mine Geological Environment
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Author : Weitao Chen
language : en
Publisher: Springer Nature
Release Date : 2022-08-18
Remote Sensing Intelligent Interpretation For Mine Geological Environment written by Weitao Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Computers categories.
This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
Intelligent Interpretation For Geological Disasters
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Author : Weitao Chen
language : en
Publisher: Springer Nature
Release Date : 2023-09-12
Intelligent Interpretation For Geological Disasters written by Weitao Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Nature categories.
This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "ground, airspace, and space-based systems" and different scales of "target-semantic-region". The main contents include: 1) Intelligent interpretation theory and methods of geological disasters, 2) Intelligent analysis of landslide based on long-term ground monitoring data, 3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide, 5) Intelligent assessment methods of landslide susceptibility, 6) Intelligent recognition of ground figure based on airspace-based remote sensing data. The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.
Machine Learning And Artificial Intelligence In Geosciences
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-09-22
Machine Learning And Artificial Intelligence In Geosciences written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-22 with Science categories.
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
Deep Learning For The Earth Sciences
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Author : Gustau Camps-Valls
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-18
Deep Learning For The Earth Sciences written by Gustau Camps-Valls 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 2021-08-18 with Technology & Engineering categories.
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.
Spatial Observation Of Giant Panda Habitat
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Author : Xinyuan Wang
language : en
Publisher: Springer Nature
Release Date : 2023-05-08
Spatial Observation Of Giant Panda Habitat written by Xinyuan Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with Technology & Engineering categories.
This book evaluates the past, present, and future habitat suitability of giant pandas based on spatial observation technology involving optical remote sensing, microwave remote sensing, and LiDAR to discover the mysterious ecological environment of giant panda habitat. Considering the problems faced by the world natural heritage site protection, it takes the world natural heritage site “Sichuan Giant Panda Sanctuaries – Wolong, Mt Siguniang and Jiajin Mountains” as the research area, exemplifies systematically the various techniques and methodologies of spatial information technology for monitoring, evaluation, and prediction of rare and endangered species habitats, and provides scientific suggestions for sustainable development of giant panda habitat based on a series of comprehensive case analysis at Wolong national nature reserve and Ya'an prefecture, Sichuan province, China. The book serves both as a textbook in the field of natural heritage protection, remote sensing, and GIS application, as well as a reference for managing natural heritage sites.
Artificial Intelligence In The Petroleum Industry
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Author : Bertrand Braunschweig
language : en
Publisher: Editions TECHNIP
Release Date : 1995
Artificial Intelligence In The Petroleum Industry written by Bertrand Braunschweig and has been published by Editions TECHNIP this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Tunnelling For A Better Life
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Author : Jinxiu Yan
language : en
Publisher: CRC Press
Release Date : 2024-05-29
Tunnelling For A Better Life written by Jinxiu Yan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-29 with Technology & Engineering categories.
Tunnelling for a Better Life contain the contributions presented at the ITA-AITES World Tunnel Congress 2024, which was held from 19-25 April 2024 in Shenzhen, China. As urbanization accelerates, the pivotal role of tunnels and underground spaces in fostering environmental sustainability and improving quality of life becomes ever more pronounced. These underground structures serve as sustainable solutions to the challenges posed by rapid urban growth. By seamlessly integrating into urban landscapes, they alleviate congestion, reduce pollution, and enhance overall mobility, thus contributing to a greener and more sustainable urban environment. Moreover, tunnels and underground works provide vital support for various urban functions, such as accommodating economic activities, providing safe shelters during emergencies or disasters, and facilitating efficient utility management. They address immediate urban needs and lay the foundation for a better and more resilient future. By focusing on the latest trends in tunnelling and underground engineering, and looking ahead to the era of low-carbon and intelligent technology, the papers in this book illustrate the transformative potential of tunnels and underground works in shaping a better life for present and future generations. The contributions cover a comprehensive range of topics on tunnel engineering, showcasing the latest advancements, insights, and innovations across the following areas: 1. Planning and General Aspects 2. Design and Methodology 3. Geotechnics, Geology and Geophysical Prospecting 4. Ground Stability and Consolidation 5. Support and Lining 6. Conventional Tunnelling 7. Mechanized Tunneling (TBM, shield) 8. Immersed Tunnels 9. Waterproofing and Drainage 10. Instrumentation and Monitoring/ Testing and Inspection 11. Digital and Information Technology 12. Machine Learning 13. Underground Caverns/Underground Space Use 14. Operational Safety, Maintenance and Repair 15. Contractual Practices and Risk Management Tunnelling for a Better Life is a must-read for professionals, engineers, owners, and other stakeholders worldwide in tunnelling and underground engineering.
Proceedings Of The 2023 9th International Conference On Architectural Civil And Hydraulic Engineering Icache 2023
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Author : Dayong Li
language : en
Publisher: Springer Nature
Release Date : 2023-12-27
Proceedings Of The 2023 9th International Conference On Architectural Civil And Hydraulic Engineering Icache 2023 written by Dayong Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Technology & Engineering categories.
This is an open access book. As an annual conference held successfully in the past 8 years, 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023) will be held by China University of Petroleum(East China)on October 13-15, 2023 in Qingdao, China. ICACHE 2023 is hosted by China University of Petroleum(East China)and organized by College of Pipeline and Civil Engineering, China University of Petroleum(East China)and supported by China University of Mining & Technology, Beijing, Shandong University of Science and Technology, Sun Yat-sen University, Central South University, Fujian Agriculture and Forestry University, Southeast University, Eshragh Institute of Higher Education, Shandong Chambroad HoldingGroup Co., Ltd., Qingdao Times Design Co., Ltd.. The conference is an international forum for the presentation of technological advances and research results in the fields of architecture, civil and hydraulic engineering. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. We warmly welcome previous and prospected authors submit your new research papers to ICACHE 2023, and share the valuable experiences with the scientist and scholars around the world.
Computer Vision Image Recognition And Analysis Techniques
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Author : Prof. Munindra Lunagaria
language : en
Publisher: Xoffencerpublication
Release Date : 2023-07-04
Computer Vision Image Recognition And Analysis Techniques written by Prof. Munindra Lunagaria and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Computers categories.
Computer vision is what we call the practice of using computer-based imaging where there is no human interaction in the visual loop at any point in the process. The photos are analyzed by a computer, which then takes appropriate action depending on their results. Computer vision systems are used in a variety of medical disciplines, and the only thing that can be said with absolute confidence is that the scope of these systems' applications will continue to expand in the future is the only thing that can be declared with absolute certainty. processing one or more digital photographs in order to generate valuable inferences about real-world physical objects and situations by computing the features of the 3D environment. This processing may be done with either one picture or all of them together. generating an accurate and comprehensive description of a real world object based on a photograph of that thing. The discipline of computer vision came into being as a consequence of efforts to model image processing utilizing the several approaches that are accessible within the discipline of machine learning. The field of computer vision makes use of machine learning to search for patterns in images with the end goal of deciphering such patterns. The field of computer vision entails the practice of teaching computers to recognize objects based on the digital still photos or moving movies that are sent into them. Finding methods through which jobs can be automated that now rely on the human visual system is the objective here. Image processing is one of the various methods that are utilized in the execution of this approach. The subfield of artificial intelligence (AI) known as computer vision is an absolutely necessary component in order for computers and other types of systems to be able to respond or provide suggestions based on visual data such as digital photos, movies, and other types of inputs. The same way that artificial intelligence makes it possible for computers to think, computer vision makes it possible for computers to see, comprehend, and observe. Computer vision and human vision are functionally comparable; the primary difference is that human eyesight developed far earlier than computer vision. The capacity of human beings to learn to differentiate between different things, their distances from one another, whether or not the items are moving