Author: Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 16
Book Description
Terrain Intelligence Interpreted from Geology
Author: Intelligent Interpretation for Geological Disasters
Author: Weitao ChenPublisher: 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.
Remote Sensing Intelligent Interpretation for Geology
Author: Weitao ChenPublisher: 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.
Selected Papers on Photogeology and Photo Interpretation
Author: United States. Research and Development Board. Committee on Geophysics and GeographyPublisher:
ISBN:
Category : Aerial photography
Languages : en
Pages : 236
Book Description
Selected Papers on Photogeology and Photo Interpretation, Presented at Meetings Sponsored by the Committee on Geophysics and Geography, Research and Development Board
Author: United States. Research and Development Board. Committee on Geophysics and GeographyPublisher:
ISBN:
Category : Aerial photography
Languages : en
Pages : 244
Book Description
Remote Sensing Intelligent Interpretation for Mine Geological Environment
Author: Weitao ChenPublisher: 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.
Bibliography of North American Geology
Author: Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 1032
Book Description
1919/28 cumulation includes material previously issued in the 1919/20-1935/36 issues and also material not published separately for 1927/28. 1929/39 cumulation includes material previously issued in the 1929/30-1935/36 issues and also material for 1937-39 not published separately.
Geological Survey Bulletin
Author: Photo Interpretation of the Terrain Along the Southern Part of the Alaska Highway
Author: Hugh M. RaupPublisher:
ISBN:
Category : Forest ecology
Languages : en
Pages : 52
Book Description
Geology and Its Military Applications
Author: United States. Dept. of the ArmyPublisher:
ISBN:
Category : Military geology
Languages : en
Pages : 380
Book Description