Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
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 …
A survey of sentiment analysis from social media data
K Chakraborty, S Bhattacharyya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …
accurate interpretations of what people express on social media. The human race nowadays …
Distributed fusion of heterogeneous remote sensing and social media data: A review and new developments
Despite the wide availability of remote sensing big data from numerous different Earth
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …
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 …
[PDF][PDF] The Multimedia Satellite Task at MediaEval 2017.
This paper provides a description of the MediaEval 2018 Multimedia Satellite Task. The
primary goal of the task is to extract and fuse content associated with events represent in …
primary goal of the task is to extract and fuse content associated with events represent in …
[PDF][PDF] Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.
This paper presents the solution of the DFKI-team for the Multimedia Satellite Task at
MediaEval 2017. In our approach, we strongly relied on deep neural networks. The results …
MediaEval 2017. In our approach, we strongly relied on deep neural networks. The results …
Social media and satellites: Disaster event detection, linking and summarization
Being able to automatically link social media and satellite imagery holds large opportunities
for research, with a potentially considerable impact on society. The possibility of integrating …
for research, with a potentially considerable impact on society. The possibility of integrating …
A survey on multi-modal social event detection
H Zhou, H Yin, H Zheng, Y Li - Knowledge-Based Systems, 2020 - Elsevier
Due to the prevalence of social media sites, users are allowed to conveniently share their
ideas and activities anytime and anywhere. Therefore, these sites hold substantial real …
ideas and activities anytime and anywhere. Therefore, these sites hold substantial real …