Charles Collins

Posters
Accessing NASA Precipitation Data via a Cloud-based Analytical Framework for Precipitation Research (CAPRi) Accessing NASA Precipitation Data via a Cloud-based Analytical Framework for Precipitation Research (CAPRi) (AGU Fall Meeting 2022)
Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021) Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021)
Development of a Deep Learning Super-Resolution Generative Adversarial Network (SGAN) for Improving the Resolution of Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Data (AGU Fall Meeting 2019) Development of a Deep Learning Super-Resolution Generative Adversarial Network (SGAN) for Improving the Resolution of Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Data (AGU Fall Meeting 2019)
Machine Learning for Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Resolution Improvement (AGU Fall Meeting 2018) Machine Learning for Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Resolution Improvement (AGU Fall Meeting 2018)
Interactive 3D Visualization of Diverse Datasets (AGU Fall Meeting 2018) Interactive 3D Visualization of Diverse Datasets (AGU Fall Meeting 2018)
Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017) Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017)

Projects

Super Multispectral Enhancement and Radar Fusion (SMERF)
Comparison of low-resolution satellite image (left) and CNN super-resolution image (right) for a region where no corresponding high-resolution image is available.

Researchers at the University of Alabama in Huntsville’s (UAH) Information Technology and Systems Center (ITSC) are conducting research in deep learning and super image resolution to develop an improved method of pan-sharpening MSI and fusing the results with SAR data. Results will provide an...

VISAGE (Visualization for Integrated Satellite, Airborne, and Ground-based data Exploration)
Example of VISAGE data visualization

The primary goal of the VISAGE project is to facilitate more efficient Earth Science investigations via a tool that can provide visualization and analytic capabilities for diverse coincident datasets. The target user community is Earth scientists that require diverse measurements to help them...

Biblio

Deep Learning for Multisensor Image Resolution Enhancement
Enhancing Spatial Resolution of Remotely Sensed Imagery Using Deep Learning