Remote Sensing Intelligent Interpretation for Mine Geological Environment

From Land Use and Land Cover Perspective de

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Éditeur :

Springer


Paru le : 2022-08-18

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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.



Pages
246 pages
Collection
n.c
Parution
2022-08-18
Marque
Springer
EAN papier
9789811937385
EAN PDF
9789811937392

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
10301 Ko
Prix
168,79 €
EAN EPUB
9789811937392

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
98488 Ko
Prix
168,79 €

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