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Author: Weitao Chen Publisher: Springer Nature ISBN: 9819989973 Category : Computers Languages : en Pages : 240
Book Description
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.
Author: Weitao Chen Publisher: Springer Nature ISBN: 9819989973 Category : Computers Languages : en Pages : 240
Book Description
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.
Author: Weitao Chen Publisher: Springer Nature ISBN: 9811937397 Category : Computers Languages : en Pages : 254
Book Description
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.
Author: Weitao Chen Publisher: Springer Nature ISBN: 9819958229 Category : Nature Languages : en Pages : 241
Book Description
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.
Author: Gary L. Prost Publisher: CRC Press ISBN: 9057026295 Category : Technology & Engineering Languages : en Pages : 504
Book Description
A guide to image interpretation, this book contains detailed color plates and tables that compare satellite imaging systems, list remote sensing web sites, and detail photointerpretation equipment. It includes case histories of the search for petroleum and mineral deposits and examines engineering uses of remote sensing. The volume comprises four sections: project initiation; exploration techniques; exploitation and engineering remote sensing; and environmental concerns. They combine to provide readers with a solid foundation of what image interpretation is and enables them to recognize features of interest and effectively use imagery in projects for the petroleum, mining, or groundwater industries.
Author: Gary L. Prost Publisher: CRC Press ISBN: 1466561750 Category : Science Languages : en Pages : 702
Book Description
This third edition of the bestselling Remote Sensing for Geologists: A Guide to Image Interpretation is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more than photointerpre
Author: Ravi P. Gupta Publisher: Springer ISBN: 3662558769 Category : Technology & Engineering Languages : en Pages : 428
Book Description
Over the past decade, advances in sensor technology, processing algorithms, and computational capacity have taken remote sensing to a level where observations can be transformed into quantitative measurements, and the technology can be used in near real-time for mapping, monitoring and decision-making. For the third edition, this widely acclaimed book has been fully revised, enlarged and updated. It covers remote sensing in a wide range of optical, thermal, and microwave wavelengths and their host of geologic applications featuring sample applications from around the globe. In addition, it presents state-of-the-art content on emerging themes such as atmospheric interactions, spectroscopy, spectral indices, prospectivity modelling, and multi-sensor geodata integration. The subject matter is presented at a basic level, offering students an excellent introductory text on remote sensing. Further, the main part of the book will also be of great value to active researchers. Excerpt from the review of Remote Sensing Geology (2nd ed., 2003): International Journal of Applied Earth Observation and Geoinformation, 5 (2004) 239–240 “....Graduate students, research workers and professional earth scientists will use this book to their advantage and with pleasure; it is well-written, to the point and with an emphasis on understanding the principles underlying this wide spectre of technology in its application to the earth sciences. Remote sensing is a fascinating subject; so is geology. The author has fully succeeded in providing a fascinating book that combines them in a handy volume.” Jan J. Nossin
Author: Stephen A. Drury Publisher: Nelson Thornes ISBN: Category : Geology Languages : en Pages : 328
Book Description
"The second edition of Image Interpretation in Geology has been fully rewritten to take account of recent advances in geographic information systems (GIS) and digital image processing. The basic physical principles of remote sensing and how they are applied in acquiring image data from aircraft and satellites are described in detail and are then related to the relevant physiology and psychology of human vision. From here, images from different climate zones of minerals, the rocks and soils that they make up, common geological structures and geologically controlled vegetation are analysed using the basic mathematical principles of digital processing and GIS." "In particular, the second edition covers all aspects of remote sensing in geology without requiring sophisticated use of mathematics; includes a new chapter on applications; gives guidelines for the use of remote sensing and GIS; and is illustrated by a comprehensive selection of outstanding half-tones, stereoscopic and colour images." "This comprehensive text will serve the needs of intermediate and advanced geology and environmental science undergraduates on aerial photograph interpretation and remote sensing courses. It is also suitable for postgraduates and professional geologists involved in digital image processing, GIS and geological mapping."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Author: S. Drury Publisher: Springer ISBN: 9780045500376 Category : Science Languages : en Pages : 243
Book Description
This book is intended for geologists who are increas kinds of image data and their interpretation. The ingly required to interpret data in image form about opportunities are so great that any geologist without a basic knowledge of the possibilities is ill-equipped to the Earth's surface and subsurface. It aims to go perform as efficiently as an employer might justifiably further than a mere familiarisation with the subject, expect. and sets out to provide the background to the most advanced remotely sensed data and the kinds of Space considerations have precluded the incorpor information that can be extracted from them. Because ation of the sort of in-depth practical exercises that obtaining suitable images is becoming increasingly would be convenient and useful for many academics dependent on the interaction between geologists and trying to teach their students the practicalities of specialists in image processing, it contains a simplified remote sensing. The many halftone and colour images account of most of the methods used in computer in the book contain far more information than is based digital image handling. In that respect it pro described in their captions - they offer the possibility vides enough background for a geologist to begin for the instructor to design practical exercises. training in digital-image processing, if necessary. As it I cannot demand that the book is read from cover to presupposes a reasonable background in geology and cover, and not used merely as a reference text.
Author: S. Drury Publisher: Springer ISBN: 9789401093934 Category : Science Languages : en Pages : 0
Book Description
This book is intended for geologists who are increas kinds of image data and their interpretation. The ingly required to interpret data in image form about opportunities are so great that any geologist without a basic knowledge of the possibilities is ill-equipped to the Earth's surface and subsurface. It aims to go perform as efficiently as an employer might justifiably further than a mere familiarisation with the subject, expect. and sets out to provide the background to the most advanced remotely sensed data and the kinds of Space considerations have precluded the incorpor information that can be extracted from them. Because ation of the sort of in-depth practical exercises that obtaining suitable images is becoming increasingly would be convenient and useful for many academics dependent on the interaction between geologists and trying to teach their students the practicalities of specialists in image processing, it contains a simplified remote sensing. The many halftone and colour images account of most of the methods used in computer in the book contain far more information than is based digital image handling. In that respect it pro described in their captions - they offer the possibility vides enough background for a geologist to begin for the instructor to design practical exercises. training in digital-image processing, if necessary. As it I cannot demand that the book is read from cover to presupposes a reasonable background in geology and cover, and not used merely as a reference text.
Author: Weitao Chen
Author: Weitao Chen
Author: Weitao Chen
Author: Weitao Chen
Author: Gary L. Prost
Author: Gary L. Prost
Author: Gary L. Prost
Author: Ravi P. Gupta
Author: Stephen A. Drury
Author: S. Drury
Author: S. Drury