BENCHMARKING REMOTE SENSING IMAGE PROCESSING AND ANALYSIS ON THE SNAPDRAGON PROCESSOR ONBOARD THE INTERNATIONAL SPACE STATION

被引：1

作者：

Swope, Jason ^{[1
]}

Mirza, Faiz ^{[1
]}

Dunkel, Emily ^{[1
]}

Towfic, Zaid ^{[1
]}

Chien, Steve ^{[1
]}

Russell, Damon ^{[1
]}

Sauvageau, Joe ^{[1
]}

Sheldon, Doug ^{[1
]}

Fernandez, Mark ^{[2
]}

Knox, Carrie ^{[2
]}

机构：

[1] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA

[2] Hewlett Packard Enterprise, Houston, TX USA

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

关键词：

Edge processing; Space Applications; Machine Learning; Artificial Intelligence;

D O I：

10.1109/IGARSS46834.2022.9883675

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Future space missions will process and analyze imagery onboard 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 off the shelf (COTS) processors, such as Qualcomm Snapdragon, deliver significant compute in small Size Weight and Power (SWaP) and offer direct hardware acceleration in the form of Graphics Processing Units (GPU) and Digital Signal Processors (DSP). We benchmark a variety of instrument processing and analysis software (including machine learned classifiers) on a Qualcomm Snapdragon SoC currently hosted by HPE's Spaceborne Computer-2 (SBC-2) onboard the International Space Station.

引用

页码：5305 / 5308

页数：4

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