Flood extent mapping with unmanned aerial vehicles data using deep convolutional neural network

V Barkhade, S Mahakarkar, R Agrawal… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
Flooding is a common occurrence that results in human fatalities, severe environmental
harm, and major infrastructural damage. A method for mapping areas with apparent and …

Flood extent mapping: An integrated method using deep learning and region growing using UAV optical data

L Hashemi-Beni, AA Gebrehiwot - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Flooding occurs frequently and causes loss of lives, and extensive damages to infrastructure
and the environment. Accurate and timely mapping of flood extent to ascertain damages is …

Deep convolutional neural network for flood extent mapping using unmanned aerial vehicles data

A Gebrehiwot, L Hashemi-Beni, G Thompson… - Sensors, 2019 - mdpi.com
Flooding is one of the leading threats of natural disasters to human life and property,
especially in densely populated urban areas. Rapid and precise extraction of the flooded …

Three-dimensional inundation mapping using UAV image segmentation and digital surface model

AA Gebrehiwot, L Hashemi-Beni - ISPRS International Journal of Geo …, 2021 - mdpi.com
Flood occurrence is increasing due to the expansion of urbanization and extreme weather
like hurricanes; hence, research on methods of inundation monitoring and mapping has …

Flooded areas evaluation from aerial images based on convolutional neural network

L Ichim, D Popescu - IGARSS 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
The most convenient method to assess flood damage in rural areas is to analyze the images
taken over by a UAV (unmanned aerial vehicle) team. The paper presents such an aerial …

UAVs in disaster management: Application of integrated aerial imagery and convolutional neural network for flood detection

HS Munawar, F Ullah, S Qayyum, SI Khan, M Mojtahedi - Sustainability, 2021 - mdpi.com
Floods have been a major cause of destruction, instigating fatalities and massive damage to
the infrastructure and overall economy of the affected country. Flood-related devastation …

Flood detection using real-time image segmentation from unmanned aerial vehicles on edge-computing platform

D Hernández, JM Cecilia, JC Cano, CT Calafate - Remote Sensing, 2022 - mdpi.com
With the proliferation of unmanned aerial vehicles (UAVs) in different contexts and
application areas, efforts are being made to endow these devices with enough intelligence …

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 …

Application of deep learning on uav-based aerial images for flood detection

HS Munawar, F Ullah, S Qayyum, A Heravi - Smart Cities, 2021 - mdpi.com
Floods are one of the most fatal and devastating disasters, instigating an immense loss of
human lives and damage to property, infrastructure, and agricultural lands. To cater to this …

Intelligent Flood Detection using Traffic Surveillance Images based on Convolutional Neural Network and Image Parsing

E Peramo, J Aborot, JR Bensig… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
An intelligent flood detection system is developed from an existing traffic surveillance
structure. Images are captured from closed-circuit television (CCTV) with actual setting …