Automatic detection and measurement of ground crack propagation using deep learning networks and an image processing technique-Reference-Cited by-同舟云学术

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Automatic detection and measurement of ground crack propagation using deep learning networks and an image processing technique

Published:2023-06 Issue: Volume:215 Page:112832
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Pham Minh-Vuong,Ha Yong-Soo,Kim Yun-Tae

Funder

Ministry of Security and Public Administration

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference44 articles.

1. Dynamics of rapid landslides;Hungr;Progress in landslide science, Chapter,2007

2. A Review of Mass Movement Processes and Risk in the Critical Zone of Earth;Regmi;Developments in Earth Surface Processes,2015

3. Image-based mapping of surface fissures for the investigation of landslide dynamics;Stumpf;Geomorphology,2013

4. Surface displacements of two landslides evaluated by GPS and inclinometer systems: A case study in Southern Apennines, Italy;Calcaterra;Nat. Hazards,2012

5. Examples of cost effective practices for landslide monitoring for early warning in developing countries of Asia;Bandara;Landslide Science and Practice: Early Warning, Instrumentation and Monitoring,2013

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2. A hybrid approach combining physics-based model with extreme value analysis for temporal probability of rainfall-triggered landslide;Landslides;2024-09-14

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4. Enhancements in image quality and block detection performance for Reinforced Soil-Retaining Walls under various illuminance conditions;Advances in Engineering Software;2024-09

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