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Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles

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Publicado en:Sensors vol. 25, no. 15 (2025), p. 4822-4841
Autor principal: Yang Ruifan
Otros Autores: Huang, Min, Zhao, Wenhao, Zhang Zixuan, Sun, Yan, Qian Lulu, Wang Zhanchao
Publicado:
MDPI AG
Materias:
Mercury cadmium telluride
Design
Unmanned aerial vehicles
Software
Cameras
Satellites
Ground stations
Sensors
Decision making
Field programmable gate arrays
Acceso en línea:Citation/Abstract
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Resumen:This study proposes and implements a dual-processor FPGA-ARM architecture to resolve the critical contradiction between massive data volumes and real-time processing demands in UAV-borne hyperspectral imaging. The integrated system incorporates a shortwave infrared hyperspectral camera, IMU, control module, heterogeneous computing core, and SATA SSD storage. Through hardware-level task partitioning—utilizing FPGA for high-speed data buffering and ARM for core computational processing—it achieves a real-time end-to-end acquisition–storage–processing–display pipeline. The compact integrated device exhibits a total weight of merely 6 kg and power consumption of 40 W, suitable for airborne platforms. Experimental validation confirms the system’s capability to store over 200 frames per second (at 640 × 270 resolution, matching the camera’s maximum frame rate), quick-look imaging capability, and demonstrated real-time processing efficacy via relative radio-metric correction tasks (processing 5000 image frames within 1000 ms). This framework provides an effective technical solution to address hyperspectral data processing bottlenecks more efficiently on UAV platforms for dynamic scenario applications. Future work includes actual flight deployment to verify performance in operational environments.
ISSN:1424-8220
DOI:10.3390/s25154822
Fuente:Health & Medical Collection