Paper
22 September 2009 RapidEye constellation relative radiometric accuracy measurement using lunar images
Joe Steyn, George Tyc, Keith Beckett, Yoshi Hashida
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Abstract
The RapidEye constellation includes five identical satellites in Low Earth Orbit (LEO). Each satellite has a 5-band (blue, green, red, red-edge and near infrared (NIR)) multispectral imager at 6.5m GSD. A three-axes attitude control system allows pointing the imager of each satellite at the Moon during lunations. It is therefore possible to image the Moon from near identical viewing geometry within a span of 80 minutes with each one of the imagers. Comparing the radiometrically corrected images obtained from each band and each satellite allows a near instantaneous relative radiometric accuracy measurement and determination of relative gain changes between the five imagers. A more traditional terrestrial vicarious radiometric calibration program has also been completed by MDA on RapidEye. The two components of this program provide for spatial radiometric calibration ensuring that detector-to-detector response remains flat, while a temporal radiometric calibration approach has accumulated images of specific dry dessert calibration sites. These images are used to measure the constellation relative radiometric response and make on-ground gain and offset adjustments in order to maintain the relative accuracy of the constellation within ±2.5%. A quantitative comparison between the gain changes measured by the lunar method and the terrestrial temporal radiometric calibration method is performed and will be presented.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joe Steyn, George Tyc, Keith Beckett, and Yoshi Hashida "RapidEye constellation relative radiometric accuracy measurement using lunar images", Proc. SPIE 7474, Sensors, Systems, and Next-Generation Satellites XIII, 74740Y (22 September 2009); https://doi.org/10.1117/12.829728
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Satellites

Satellite imaging

Near infrared

Image processing

Imaging systems

Sensors

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