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1 to 6 of 6 Results
Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station
Jul 17, 2022
Jason Swope, 2022, "Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station", https://doi.org/10.48577/jpl.WPXENU, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
As space missions become more distant, the need for onboard analysis and image recognition becomes even more important. Deep learning is state of the art in computer vision [1], so our goal is to demonstrate onboard inference with these algorithms. Traditional flight hardware pro...
Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station
Jul 17, 2022
Jason Swope, 2022, "Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station", https://doi.org/10.48577/jpl.USZGLU, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
Future space missions will process and analyze imagery onboard placing greater demands on flight computing. Traditional flight hardware provides modest compute especially compared to laptop and desktop computers. A new generation of commercial off the shelf (COTS) processors, suc...
AUTONOMOUS CAPABILITIES AND COMMAND AND DATA HANDLING DESING FOR THE SMART REMOTE SENSING OF CLOUD ICE
Jul 17, 2022
Mehmet Ogut, 2022, "AUTONOMOUS CAPABILITIES AND COMMAND AND DATA HANDLING DESING FOR THE SMART REMOTE SENSING OF CLOUD ICE", https://doi.org/10.48577/jpl.CICT9G, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
The Smart Ice Cloud Sensing (SMICES) instrument aims at providing onboard smart autonomous observation of upper tropospheric water vapor and ice particle size distribution in clouds at various local times. SMICES is an active/passive combined sensor with sounding channels at 380...
TESTING MARS ROVER, SPECTRAL UNMIXING, AND SHIP DETECTION NEURAL NETWORKS, AND MEMORY CHECKERS ON EMBEDDED SYSTEMS ONBOARD THE ISS
May 31, 2022
Jason Swope, 2022, "TESTING MARS ROVER, SPECTRAL UNMIXING, AND SHIP DETECTION NEURAL NETWORKS, AND MEMORY CHECKERS ON EMBEDDED SYSTEMS ONBOARD THE ISS", https://doi.org/10.48577/jpl.QW2N1B, 16th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2022), JPL Open Repository
Future space missions can benefit from processing imagery onboard to detect science events, create insights, and respond autonomously. This capability can enable the discovery of new science. One of the challenges to this mission concept is that traditional space flight hardware...
BENCHMARKING REMOTE SENSING IMAGE PROCESSING AND MISSION PLANNING APPLICATIONS ON THE SNAPDRAGON PROCESSOR ONBOARD THE INTERNATIONAL SPACE STATION
May 31, 2022
Jason Swope, 2022, "BENCHMARKING REMOTE SENSING IMAGE PROCESSING AND MISSION PLANNING APPLICATIONS ON THE SNAPDRAGON PROCESSOR ONBOARD THE INTERNATIONAL SPACE STATION", https://doi.org/10.48577/jpl.X76JVE, 16th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2022), JPL Open Repository
Future space missions will process and analyze imagery onboard and plan and act more autonomously placing greater demands on flight computing. Traditional flight hardware provides modest compute, even when compared to laptop and desktop computers. A new generation of commercial o...
Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions
May 31, 2022
Alberto Candela Garza, 2022, "Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions", https://doi.org/10.48577/jpl.TOBUJF, 16th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2022), JPL Open Repository
Dynamic Targeting (DT) will enable future Earth Observing instruments to intelligently reconfigure and point instruments to dramatically enhance science return. In this work we present a simulation study of DT for cloud avoidance. To this end we have developed several algorithms...
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