A088-0004
Automated Radiation and Geometric Correction Processing Method of Polar-Observing CubeSat BNU-1 Images

Thursday, 10 December 2020
Poster
Ying Zhang1, Xinyi Shang1, Zhuoqi Chen2 and Xiao Cheng2, (1)Beijing Normal University, Beijing, China, (2)SUN YAT-SEN UNIVERSITY, School of Geospatial Engineering and Science, Zhuhai, China
Abstract:
BNU-1 is China's first polar-observing CubeSat, jointly developed by Beijing Normal University and Shenzhen Aerospace Dongfanghong Development Ltd, launched on Sept. 12, 2019. It has the characteristic of short repetition visit period, wide observation area and adjustable exposure time. It is equipped with a broadband camera with a width of 744km, a ground resolution of 74m, and a panchromatic and multi-spectral bands. The observation range covers 85°S to 85°N, can effectively supplement MODIS and Landsat data in terms of width and resolution. Limited by manufacturing cost and volume, there are a series of problems in satellite geolocation and radiation, which severely limit the application of Level 0 products.

This study proposes a set of automated radiation and geometric calibration procedure suitable for BNU-1 images. Histogram matching is used to match the multispectral band data of the BNU-1 satellite with the panchromatic band data. This method assumes that the DN value of the central field of view in the multispectral band is true and corrects the DN value of the edge field of view to achieve relative radiation calibration. Geometric correction is implemented by image registration method based on SIFT algorithm to register BNU-1 level 0 data to MODIS level 1 data in the same period. This method can automatically select the optimal reference image for registration. The method combines the selection of matching points of the whole image with the selection of matching points after the partial image enhancement processing, which can make the number of matching points more and the distribution more uniform, so as to achieve better geometric correction effect.

At present, the method of this study has been applied to the correction of some BNU-1 images. 27 images were selected for evaluation, and the average plane geometric accuracy has been increased from 7.9km to 300m. The problem of inconsistent radiation response between the central field of view and the edge field of view has been effectively improved. In the future, ground-based spectral data from China's 36th Antarctic scientific expedition will be used for radiation verification. Moreover, this technology will be used to realize the automatic production of BNU-1 level 1 products, with a view to providing users with better quality polar observation data.