research
∙
06/22/2023
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks
As we deal with the effects of climate change and the increase of global...
share
research
∙
06/22/2023
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach
The precise tracking and prediction of polar ice layers can unveil histo...
research
∙
03/13/2023
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region
For glaciologists, studying ice sheets from the polar regions is critica...
research
∙
02/02/2023
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar
The accurate prediction and estimation of annual snow accumulation has g...
research
∙
02/24/2022
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
Due to climate change, we can observe a recent surge of natural disaster...
research
∙
06/19/2021
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis
Visual Question Answering system integrated with Unmanned Aerial Vehicle...
research
∙
05/30/2021
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment
The detrimental impacts of climate change include stronger and more dest...
research
∙
04/10/2021
Regression Networks For Calculating Englacial Layer Thickness
Ice thickness estimation is an important aspect of ice sheet studies. In...
research
∙
12/05/2020
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
Visual scene understanding is the core task in making any crucial decisi...
research
∙
09/02/2020
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
In this paper, we present a large-scale hurricane Michael dataset for vi...
research
∙
09/01/2020
