Hybrid On-Board and Ground-Based Processing of Massive Sensor Data (HyspIRI IPM)
Future space missions will enable unprecedented monitoring of the Earth's environment and will generate immense volumes of science data. Getting this data to ground communications…
Mars2020 Rover (Perseverance)
Research, experiments, and engineering to empower future rovers with onboard autonomy; planning, scheduling & execution; path planning; onboard science; image processing; terrain…
Neural network accelerated radiative transfer modeling
Neural network accelerated radiative transfer modeling is intended to enhance efforts in the Earth Science domain.
Perseverance Rover on Mars - Terrain Relative Navigation
3D machine vision via dual cameras to inform convolutional neural networks for rover navigation path planning.
Providing visualization tools and streamlining the detection and tracking of wildfire-induced smoke plumes during the Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) mission
Providing visualization tools and streamlining the detection and tracking of wildfire-induced smoke plumes during the Fire Influence on Regional to Global Environments and Air Qua…
SCOTI (Scientific Captioning of Terrain Images)
SCOTI (Scientific Captioning of Terrain Images) automatically generates natural language explanations of geological images taken by rovers. It uses "show-attend-tell" model consis…
SPOC (Soil Property and Object Classification)
Using a convolutional neural network (CNN), SPOC (Soil Property and Object Classification) takes rover images and classifies the terrain type (e.g., sand, soil) from visual appear…
Trusted and exPlainable Artificial Intelligence for Saving Lives (TruePAL) Technology for First Responder Safety
Fatalities caused by emergency vehicle collisions are 4.8 times higher for emergency responders than the national average. The Trusted and exPlainable Artificial Intelligence for…
Classification of features in Crew Earth Observations imagery
Feature classification in Crew Earth Observations imagery of the following classes: Earth limb, lightning, the Moon, aurora, cities (64 cities, day/night), ISS equipment. For depl…
Cloud masks from Crew Earth Observations imagery
Generation of cloud masks via segmentation in Crew Earth Observations (Crew Earth Observations) images. For deployment on the Gateway to Astronaut Photography to supplement search…
Comment Analytics Dashboard
Developed using Python and R, the Comment Analysis Dashboard is designed to visualize sentiment scored data provided by SF to better understand how crew members feel on a day-to-d…
Crew Earth Observations automated georeferencing/geolocation
Automated georeferencing of Crew Earth Observation images. For deployment on the Gateway to Astronaut Photography.
Machine Learning for RFID (Radio Frequency Identification) tag localization to support logistics
Currently have two production machine learning approaches to tackle RFID (Radio Frequency Identification) tag localization in the highly reflective environment imposed by the Inte…
Noise suppression in Human Spaceflight audio systems
Noise. Is. Aggravating. Especially on voice and video calls. It’s certainly an unwelcome party to most conversations, but it has always been around.
Adaptive Neural Network Molecular Dynamics
ML approach, based on artificial neural networks (ANNs) is used in atomistic simulations to efficiently reproduce the very complex energy landscape resulting from the atomic inter…
Aerosol and Cloud Identification in SAGE III/ISS Aerosol Extinction Profiles
This work uses machine learning techniques to classify aerosols in SAGE (Stratospheric Aerosol and Gas Experiment) III / ISS (International Space Station) Aerosol Extinction Profi…
AMP: An Automated Metadata Pipeline
In this work, we combine ontologies and machine learning to auto-generate robust, semantically consistent, variable-level metadata records for large NASA satellite collections, an…
Application of High-Dimensional Fuzzy K-mean Cluster Analysis to CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) / CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observatory) Version 4.1 Feature Classifications
This project uses Fuzzy K-means clustering (unsupervised learning) to validate the cloud-aerosol discrimination algorithm used in the publibly-distributed CALIOP (Cloud-Aerosol Li…
CERES FluxByCldTyp Data Product Narrowband-to-Broadband Algorithm Improvement Through Deep Neural Network (DNN)
Apply DNN (Deep Neural Networks) to the CERES (Clouds and the Earth's Radiant Energy System) Flux by Cloud Type data narrowband-to-broadband algorithms to improve shortwave and lo…
Cloud Detection Neural Network
Detection of clouds below and above aircraft to reduce cloud contamination and improve NASA passive remote sensing of aerosols, oceans and lands from aircraft.
Combining Satellite and Ground-based Observations to Improve Cloud Ceiling Observations over CONUS for Aviation Weather
A k-nearest neighbors method is applied to use satellite observations to extend sparse ceilometer observations at surface stations to high spatiotemporal resolutions over CONUS (C…
Detection of multi-layered clouds from multispectral MODIS/VIIRS data using an artificial neural network trained with CALIPSO-CloudSat data.
Detection of multi-layered clouds from multispectral MODIS (Moderate Resolution Imaging Spectroradiometer) / VIIRS (Visible Infrared Imaging Radiometer Suite) data using an artifi…
Developing Quantum Reservoir Computing Hardware and Software for Deep Learning
This study uses integrated photonic circuits, mode-locked lasers and quantum optics to perform fast computing that use that to train the recurrent neural network deep learning thr…
Estimation of Multilayered Cloud Properties from Geostationary Satellite Imager Data
A deep neural network is developed and applied to geostationary satellite imagery data to identify and retrieve characteristics of multi-layered clouds for potential use in weathe…