A river flooding detection system based on deep learning and computer vision

FE Fernandes Jr, LG Nonato, J Ueyama - Multimedia Tools and …, 2022 - Springer
Although floods cause millions of dollars in economic and social losses each year, many
people living in developing countries, such as Brazil, do not have access to a flooding alert …

Flood detection and control using deep convolutional encoder-decoder architecture

HB Baydargil, S Serdaroglu, JS Park… - … on information and …, 2018 - ieeexplore.ieee.org
In most major cities, there are certain areas with insufficient sewage systems that are
incapable of moving drainage water efficiently, especially in heavy rain scenarios. Using …

Flood detection by using FCN-AlexNet

KY Son, ME Yildirim, JS Park… - … Conference on Machine …, 2019 - spiedigitallibrary.org
Floods are the natural disasters which can give serious damage to properties, roads,
vehicles and even people. These damages bring huge payload both to individuals and …

Deep learning and LiDAR integration for surveillance camera-based river water level monitoring in flood applications

NA Muhadi, AF Abdullah, SK Bejo, MR Mahadi, A Mijic… - Natural Hazards, 2024 - Springer
Recently, surveillance technology was proposed as an alternative to flood monitoring
systems. This study introduces a novel approach to flood monitoring by integrating …

Assessment of a Machine Learning Algorithm Using Web Images for Flood Detection and Water Level Estimates

M Tedesco, J Radzikowski - Geohazards, 2023 - mdpi.com
Improving our skills to monitor flooding events is crucial for protecting populations and
infrastructures and for planning mitigation and adaptation strategies. Despite recent …

Flood detection based on unmanned aerial vehicle system and deep learning

K Yang, S Zhang, X Yang, N Wu - Complexity, 2022 - Wiley Online Library
Floods are one of the main natural disasters, which cause huge damage to property,
infrastructure, and economic losses every year. There is a need to develop an approach that …

A comparison of deep learning algorithms on image data for detecting floodwater on roadways

S Salih, K Murat, Z Yanxiao… - Computer Science and …, 2022 - digitalcommons.odu.edu
Object detection and segmentation algorithms evolved significantly in the last decade.
Simultaneous object detection and segmentation paved the way for real-time applications …

DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection from Multimedia Images

N Humaira, S Samadi, NC Hubig - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, an alarming number of natural disasters, specifically hurricanes and floods
have affected the United States. Flooding is a global crisis, however we still do not have an …

Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning

C Sazara, M Cetin… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
Detecting roadway segments inundated due to floodwater has important applications for
vehicle routing and traffic management decisions. This paper proposes a set of algorithms to …

Detection of urban flood inundation from traffic images using deep learning methods

P Zhong, Y Liu, H Zheng, J Zhao - Water Resources Management, 2024 - Springer
Urban hydrological monitoring is essential for analyzing urban hydrology and controlling
storm floods. However, runoff monitoring in urban areas, including flood inundation depth, is …