Unmanned Aerial Vehicle Systems for Remote Estimation of Flooded Areas Based on Complex Image Processing
Floods are natural disasters which cause the most economic damage at the global level. Therefore, flood monitoring and damage estimation are very important for the population, authorities and insurance companies. The paper proposes an original solution, based on a hybrid network and complex image pr...
Main Authors: | Dan Popescu, Loretta Ichim, Florin Stoican |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/17/3/446 |
Similar Items
-
Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review
by: Dan Popescu, et al.
Published: (2023-11-01) -
Segmentation of Vegetation and Flood from Aerial Images Based on Decision Fusion of Neural Networks
by: Loretta Ichim, et al.
Published: (2020-08-01) -
Unmanned aerial vehicles
by: Vlado Jurić, et al.
Published: (2016-12-01) -
Identifying the Branch of Kiwifruit Based on Unmanned Aerial Vehicle (UAV) Images Using Deep Learning Method
by: Zijie Niu, et al.
Published: (2021-06-01) -
Application of Unmanned Aerial Vehicles as a Mobile Monitoring of Fire Hazard
by: Norbert TUŚNIO, et al.
Published: (2014-06-01)