research
∙
10/12/2020
Spectral Synthesis for Satellite-to-Satellite Translation
Earth observing satellites carrying multi-spectral sensors are widely us...
share
research
∙
06/13/2020
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
Recent progress in quantum algorithms and hardware indicates the potenti...
research
∙
10/29/2019
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC)
New generation geostationary satellites make solar reflectance observati...
research
∙
07/28/2019
Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data
Applications of satellite data in areas such as weather tracking and mod...
research
∙
02/12/2019
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Machine learning has proven to be useful in classification and segmentat...
research
∙
02/13/2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Deep Learning (DL) methods have been transforming computer vision with i...
research
∙
03/09/2017
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
The impacts of climate change are felt by most critical systems, such as...
research
∙
05/09/2016
A Theoretical Analysis of Deep Neural Networks for Texture Classification
We investigate the use of Deep Neural Networks for the classification of...
research
∙
09/11/2015
DeepSat - A Learning framework for Satellite Imagery
Satellite image classification is a challenging problem that lies at the...
research
∙
09/11/2015