Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 14; p. 1642
• Main Authors: Liu, Lianguang, Du, Rujun, Liu, Wenlin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.07.2019
• Subjects: Algorithms; Computer simulation; Decision making; Electric power; Electricity distribution; Fault lines; flood hazard; Flood hazards; Flood predictions; Flooding; Floods; Fuzzy logic; hazard prevention; Hazards; hidden danger identification; Image transmission; Inspections; International conferences; Landslides; monitoring; Noise; Object recognition; Optimization techniques; prediction; Radar imaging; Remote sensing; Satellite imagery; surface water; Synthetic aperture radar; tower failure; Transmission lines; Transmission towers; Unmanned aerial vehicles; Water bodies; Turkey; Tbilisi Georgia (country); China; Georgia (country)
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs11141642

Synthetic Aperture Radar (SAR) has been extensively used in the monitoring of natural hazards such as floods and landslides. Predicting whether natural hazards will cause serious harm to important facilities on the ground is an important subject of study. In this study, the distance between the wate...