19 citations · 32 across the 4 of their papers we have counts for
5 papers
CNN-Based Semantic Change Detection in Satellite Imagery
Ananya Gupta, Elisabeth Welburn, Simon Watson +1
Timely disaster risk management requires accurate road maps and prompt damage assessment. Currently, this is done by volunteers manually marking satellite imagery of affected areas…
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment
Ananya Gupta, Simon Watson, Hujun Yin
Satellite images are an extremely valuable resource in the aftermath of natural disasters such as hurricanes and tsunamis where they can be used for risk assessment and disaster ma…
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks
Ananya Gupta, Jonathan Byrne, David Moloney +2
LiDAR provides highly accurate 3D point clouds. However, data needs to be manually labelled in order to provide subsequent useful information. Manual annotation of such data is tim…
3D Point Cloud Feature Explanations Using Gradient-Based Methods
Ananya Gupta, Simon Watson, Hujun Yin
Explainability is an important factor to drive user trust in the use of neural networks for tasks with material impact. However, most of the work done in this area focuses on image…
Multi-Temporal Aerial Image Registration Using Semantic Features
Ananya Gupta, Yao Peng, Simon Watson +1
A semantic feature extraction method for multitemporal high resolution aerial image registration is proposed in this paper. These features encode properties or information about te…