InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping

Éditeur :

Springer

Paru le : 2025-07-23

This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern China. It explores the application of various deep learning methods in landslide identification...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2025-07-23

Pages
214 pages

EAN papier
9789819691319

Auteur(s) du livre


Dr. Yi He received his B.S. degrees in Geographic Information System from Lanzhou Jiaotong University, Lanzhou, China, in 2011, and the Ph.D. degree in Geography from the Lanzhou University, Lanzhou, in 2016. Since Jan. 2023, Dr. He has been in Faculty of Geomatics, Lanzhou Jiaotong University as a professor.  Dr. He focuses on the research of landslide based on remote sensing technology and deep learning. His recent research interests include: deep learning landslide identification and sensitivity mapping, InSAR technology ground surface deformation monitoring and time series prediction, and key technologies of InSAR data processing based on deep learning, etc. He has presided over many national and provincial projects, including the National Natural Science Foundation of China General Project, the National Natural Science Foundation of China Youth Science Fund, the China Postdoctoral General Fund, and other important projects.

Caractéristiques détaillées - droits

EAN PDF
9789819691326
Prix
168,79 €
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
38349 Ko
EAN EPUB
9789819691326
Prix
168,79 €
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
127775 Ko

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