Remote Sensing Intelligent Interpretation For Geology PDF Download
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| Author | : Weitao Chen |
| Publisher | : Springer Nature |
| Total Pages | : 240 |
| Release | : 2024-01-03 |
| Genre | : Computers |
| ISBN | : 9819989973 |
Download Remote Sensing Intelligent Interpretation for Geology Book in PDF, ePub and Kindle
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 |
| Total Pages | : 254 |
| Release | : 2022-08-18 |
| Genre | : Computers |
| ISBN | : 9811937397 |
Download Remote Sensing Intelligent Interpretation for Mine Geological Environment Book in PDF, ePub and Kindle
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 |
| Total Pages | : 241 |
| Release | : 2023-09-12 |
| Genre | : Nature |
| ISBN | : 9819958229 |
Download Intelligent Interpretation for Geological Disasters Book in PDF, ePub and Kindle
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 | : Ravi P. Gupta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 511 |
| Release | : 2013-04-17 |
| Genre | : Science |
| ISBN | : 3662129140 |
Download Remote Sensing Geology Book in PDF, ePub and Kindle
There has been phenomenal growth in the field of remote sensing over the last two to three decades. It has been applied in the fields of geology, mineral exploration, forestry, agriculture, hydrology, soils, land use etc. - that is, in all pursuits of sciences dealing with the features, processes, and phenomena operating at the earth's surface. The status of geological remote sensing has rapidly advanced and the scientific literature is scattered. The aim of the present book is to systematically discuss the specific requirements of geological remote sensing, to summarize the techniques of remote sensing data collection and interpretation, and to integrate the technique into geoexploration. The main conceptual features of the book are: - To combine various aspects of geological remote sensing, ranging from the laboratory spectra of minerals and rocks to aerial and space-borne remote sensmg. - To integrate photogeology into remote sensing. - To promote remote sensing as a tool in integrated geoexploration. - To elucidate the wide-spectrum geoscientific applications of remote sensing, ranging from meso- to global scale. The book has been written to satisfy the needs of mainly graduate students and active research workers interested in applied earth sciences. It is primarily concept -oriented rather than system- or module-oriented.
| Author | : Gary L. Prost |
| Publisher | : CRC Press |
| Total Pages | : 504 |
| Release | : 2002-01-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9057026295 |
Download Remote Sensing for Geologists Book in PDF, ePub and Kindle
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 | : |
| Total Pages | : 326 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
Download Remote Sensing for Geologists Book in PDF, ePub and Kindle
| Author | : Gary L. Prost |
| Publisher | : CRC Press |
| Total Pages | : 702 |
| Release | : 2013-12-13 |
| Genre | : Science |
| ISBN | : 1466561750 |
Download Remote Sensing for Geoscientists Book in PDF, ePub and Kindle
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 | : Achyuta Ayan Misra |
| Publisher | : John Wiley & Sons |
| Total Pages | : 276 |
| Release | : 2023-01-17 |
| Genre | : Science |
| ISBN | : 1119813352 |
Download Atlas of Structural Geological and Geomorphological Interpretation of Remote Sensing Images Book in PDF, ePub and Kindle
ATLAS OF STRUCTURAL GEOLOGICAL AND GEOMORPHOLOGICAL INTERPRETATION OF REMOTE SENSING IMAGES An extensive compilation of case studies in structural geology and geomorphology for interpreting remotely sensed images In the Atlas of Structural Geological and Geomorphological Interpretation of Remote Sensing Images, a team of experts delivers an extensive collection of over 20 different examples of structural geological and geomorphological studies by remote sensing. The book demonstrates how to properly interpret geological features and gather robust and reliable information from remote sensing images. This atlas contains high-quality colour images that depict a diversity of structures and geomorphic features from different tectonic regimes and geographic localities in the Americas, Europe, and Australasia. While its primary emphasis is on structural geology, geomorphology is considered in some depth as well. The examples also cover geological hazards, including volcanic eruptions and earthquakes. Readers will also find: A thorough introduction to the background of remote sensing, including foundational concepts and the classification of remote sensing based on data type, source, platform and imaging media Comprehensive discussions of geomorphology, including explorations of lava fissures, badlands and beaches In-depth explorations of structural geology, including discussions of deformation bands, fault lines and earthquake effects Several examples of how to trace hydrological processes such as glacier retreat, changes in drainage patterns and bar formation Perfect for advanced students and researchers in the geoscience community, Atlas of Structural Geological and Geomorphological Interpretation of Remote Sensing Images will also earn a place in the libraries of practicing professionals with an interest in the interpretation of remote sensing images.
| Author | : Nilanjan Dey |
| Publisher | : Springer |
| Total Pages | : 154 |
| Release | : 2018-05-23 |
| Genre | : Science |
| ISBN | : 3319899236 |
Download Big Data for Remote Sensing: Visualization, Analysis and Interpretation Book in PDF, ePub and Kindle
This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
| Author | : Andrew N. Rencz |
| Publisher | : John Wiley & Sons |
| Total Pages | : 774 |
| Release | : 1999-03-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9780471294054 |
Download Manual of Remote Sensing, Remote Sensing for the Earth Sciences Book in PDF, ePub and Kindle
Die großen Fortschritte in der Fernerkundung sowie die Verfügbarkeit umfangreicher neuer Satellitendaten machten die Neuauflage des bekannten 8-bändigen "Manual of Remote Sensing" erforderlich. Behandelt werden Theorie und praktische Anwendungsmöglichkeiten von Fernerkundungs-Satellitendaten auf geologische Problemstellungen. Darüber hinaus beschreibt Band 3 die technischen Mittel zur Erzielung der Daten (Radar, Licht-, Infrarot- und geophysikalische Sensoren) und deren Anwendungsbereiche (Exploration von Erz- und Kohlelagerstätten, Stratigraphie, technische Geologie und Umweltstudien). Dieser Band bietet eine ideale Kombination von Theorie, Datenanalyse und Fallstudien zur Veranschaulichung grundlegender Konzepte.
