Social media for intelligent public information and warning in disasters: An interdisciplinary review
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …
building capacity to the public information and warning approaches. Therefore, the author …
How computer vision can facilitate flood management: A systematic review
Better prediction and monitoring of flood events are key factors contributing to the reduction
of their impact on local communities and infrastructure assets. Flood management involves …
of their impact on local communities and infrastructure assets. Flood management involves …
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
Visual scene understanding is the core task in making any crucial decision in any computer
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
In this paper, we present a patch-based land use and land cover classification approach
using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely …
using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely …
Multi-task learning for segmentation of building footprints with deep neural networks
The increased availability of high-resolution satellite imagery allows to sense very detailed
structures on the surface of our planet. Access to such information opens up new directions …
structures on the surface of our planet. Access to such information opens up new directions …
Natural disasters detection in social media and satellite imagery: a survey
The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …
years. Being one of the most important sources of information, social media have been …
Cloud removal from satellite images using spatiotemporal generator networks
V Sarukkai, A Jain, B Uzkent… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Satellite images hold great promise for continuous environmental monitoring and earth
observation. Occlusions cast by clouds, however, can severely limit coverage, making …
observation. Occlusions cast by clouds, however, can severely limit coverage, making …
Active learning based federated learning for waste and natural disaster image classification
The feasibility of Federated Learning (FL) is highly dependent on the training and inference
capabilities of local models, which are subject to the availability of meaningful and …
capabilities of local models, which are subject to the availability of meaningful and …
Detecting natural disasters, damage, and incidents in the wild
Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious
task performed by on-the-ground emergency responders and analysts. Social media has …
task performed by on-the-ground emergency responders and analysts. Social media has …
[HTML][HTML] A survey on object detection for the internet of multimedia things (IoMT) using deep learning and event-based middleware: approaches, challenges, and …
An enormous amount of sensing devices (scalar or multimedia) collect and generate
information (in the form of events) over the Internet of Things (IoT). Present research on IoT …
information (in the form of events) over the Internet of Things (IoT). Present research on IoT …