Remote Sensing Intelligent Interpretation for Mine Geological Environment is popular PDF and ePub book, written by Weitao Chen in 2022-08-18, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Remote Sensing Intelligent Interpretation for Mine Geological Environment can be Read Online from any device for your convenience.
Remote Sensing Intelligent Interpretation for Mine Geological Environment Book PDF Summary
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.
Detail Book of Remote Sensing Intelligent Interpretation for Mine Geological Environment PDF
- Author : Weitao Chen
- Release : 18 August 2022
- Publisher : Springer Nature
- ISBN : 9789811937392
- Genre : Computers
- Total Page : 254 pages
- Language : English
- PDF File Size : 7,9 Mb
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