Kapak Resmi

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

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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yazar: He, Yi (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edisyon:1st ed. 2025.
Konular:
Natural disasters.
Artificial intelligence.
Geographic information systems.
Geotechnical engineering.
Natural Hazards.
Artificial Intelligence.
Geographical Information System.
Geotechnical Engineering and Applied Earth Sciences.
Online Erişim:https://doi.org/10.1007/978-981-96-9132-6
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • Introduction
  • InSAR and deep learning theory
  • Deep learning landslide intelligent identification methods
  • Landslide susceptibility assessment based on geography consistency constraints
  • Landslide susceptibility assessment by integrated multi-model based on static-dynamic data
  • Landslide susceptibility assessment based on integrated static-dynamic characteristics of InSAR deformation information.

Benzer Materyaller