Affiliation:
1. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
2. Liscotech System Company, Ltd., Taipei 115, Taiwan
Abstract
CubeSats are designed to optimize applications within the strict constraints of space and power. This paper presents an On-Board Image Enhancement technique for remote sensing payloads, focusing on achieving Auto White Balance (AWB) with limited resources and enhancing the capabilities of small/microsatellites. The study introduces hardware-based techniques, including histogram adjustment, De-Bayer processing, and AWB, all tailored to minimize hardware resource consumption on CubeSats. The integrated 1U CubeSat system comprises a sensor board, an Image Data Processor (IDP) unit, and onboard computing, with a total power consumption estimated at 2.2 W. This system facilitates image capture at a resolution of 1920 × 1200 and utilizes the proposed algorithm for image enhancement on remote sensing payloads to improve the quality of images captured in low-light environments, thereby demonstrating significant advancements in satellite image processing and object-detection capabilities.
Funder
National Science and Technology Council of Taiwan
Reference18 articles.
1. An Improved S-Band CubeSat Communication Subsystem Design and Implementation;Abdullah;IEEE Access,2021
2. A multiple-CubeSat constellation for integrated earth observation and marine/air traffic monitoring;Wu;Adv. Space Res.,2021
3. Diwan, R., de Kuijper, K., Pal, P.S., Ritter, A., Parkinson, P.S., Kong, A.C., and Parker, Q. (2023). 6U MeV CubeSat Mission: A low-cost approach towards gamma-ray astronomy. arXiv.
4. Francisco, C., Henriques, R., and Barbosa, S. (2023). A Review on CubeSat Missions for Ionospheric Science. Aerospace, 10.
5. FPGA-Based Implementation of Ship Detection for Satellite On-Board Processing;Xu;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2022