On-Board Image Enhancement on Remote Sensing Payload

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/micr...

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Bibliographic Details
Published in:Aerospace 2024-05, Vol.11 (5), p.336
Main Authors: Xu, Guo-Cheng, Lee, Pei-Jun, Bui, Trong-An, Hsu, Pei-Hsiang, Shiu, Shiuan-Hal
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
auto white balance
CubeSat
Data processing equipment
De-Bayer
Field programmable gate arrays
FPGA
Hardware
histogram
Histograms
Image enhancement
Image processing
Image quality
Light
Logic
Microprocessors
Microsatellites
Payloads
Pharmaceutical industry
Power consumption
Power management
Remote sensing
Resource consumption
satellite
Satellite imagery
Satellites
Semiconductor industry
Sensors
White balancing
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Summary: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.
ISSN:2226-4310
2226-4310
DOI:10.3390/aerospace11050336