Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles
Αποθηκεύτηκε σε:
| Εκδόθηκε σε: | Sensors vol. 25, no. 15 (2025), p. 4822-4841 |
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| Κύριος συγγραφέας: | |
| Άλλοι συγγραφείς: | , , , , , |
| Έκδοση: |
MDPI AG
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| Θέματα: | |
| Διαθέσιμο Online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/s25154822 |2 doi | |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Yang Ruifan |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 245 | 1 | |a Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Mercury cadmium telluride | ||
| 653 | |a Design | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Software | ||
| 653 | |a Cameras | ||
| 653 | |a Satellites | ||
| 653 | |a Ground stations | ||
| 653 | |a Sensors | ||
| 653 | |a Decision making | ||
| 653 | |a Field programmable gate arrays | ||
| 700 | 1 | |a Huang, Min |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 700 | 1 | |a Zhao, Wenhao |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 700 | 1 | |a Zhang Zixuan |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 700 | 1 | |a Sun, Yan |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 700 | 1 | |a Qian Lulu |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 700 | 1 | |a Wang Zhanchao |u Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; yangruifan23@mails.ucas.ac.cn (R.Y.); huangmin@aoe.ac.cn (M.H.); zhaowh@aircas.ac.cn (W.Z.); zhangzixuan@aircas.ac.cn (Z.Z.); sunyan@aircas.ac.cn (Y.S.); qianll@aircas.ac.cn (L.Q.) | |
| 773 | 0 | |t Sensors |g vol. 25, no. 15 (2025), p. 4822-4841 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3239089515/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3239089515/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3239089515/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |