Related Experiment Video
Updated: Sep 11, 2025
06:28
Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform
Published on: June 7, 2024
2.0K
Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles
Ruifan Yang1,2,3, Min Huang1,2,3, Wenhao Zhao1,3
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Sensors (Basel, Switzerland)
|August 14, 2025
Summary
This study introduces a compact FPGA-ARM system for real-time processing of hyperspectral imaging data on unmanned aerial vehicles (UAVs). The architecture efficiently handles massive data volumes, enabling rapid acquisition, storage, and analysis for dynamic applications.
Area of Science:
- Engineering
- Computer Science
- Remote Sensing
Background:
- Unmanned aerial vehicle (UAV)-borne hyperspectral imaging generates massive data volumes.
- Real-time processing of this data presents significant computational challenges.
- Existing systems struggle to balance data throughput with processing demands.
Purpose of the Study:
- To develop a novel architecture for real-time processing of hyperspectral data on UAVs.
- To address the bottleneck between massive data acquisition and computational processing.
- To create a compact, low-power system suitable for airborne deployment.
Main Methods:
- Implementation of a dual-processor FPGA-ARM architecture.
- Hardware-level task partitioning: FPGA for buffering, ARM for computation.
- Integration of a hyperspectral camera, IMU, control module, and SSD storage.
- Development of an end-to-end acquisition-storage-processing-display pipeline.
Main Results:
- Achieved real-time data acquisition and storage at 200 frames per second (640x270 resolution).
- Demonstrated real-time radiometric correction processing (5000 frames in 1000 ms).
- The integrated system weighs 6 kg and consumes 40 W, ideal for UAVs.
Conclusions:
- The proposed FPGA-ARM architecture effectively resolves real-time processing challenges for UAV hyperspectral imaging.
- This framework offers an efficient technical solution for dynamic scenario applications.
- Future work will involve flight deployment to validate performance in operational environments.
