Abstract
Due to the non-linear response of the infrared load device in the low-temperature region, the stripes, appeared in the low-temperature region of the infrared image, will seriously deteriorate the image quality and quantitative retrieval accuracy of the infrared remote sensing image. The existing methods based on the calibration parameters on the infrared remote sensing satellite can’t solve the stripe problem caused by the non-linear response. Therefore, the compensation by means of ground to improve the quality of infrared images is particularly urgent. This paper deeply analysed the generation mechanism of satellite infrared camera load inhomogeneity and studied two improved stripe removal algorithms based on Kalman filtering and moment matching in view of the shortcomings of the traditional method in removing stripes. First of all, this paper introduces the advantages of Kalman filtering noise processing and the deficiencies of the algorithm in image processing. Then, a method based on Kalman filtering is proposed to improve the radiation quality of infrared images. Secondly, aiming at the problem of “Banding effect” in traditional moment matching, a one-dimensional moving window was proposed to segment the image to protect the image detail information, and we also propose a method to enhance the radiation quality of moment matched infrared images based on adaptive moving window weighted column average compensation. Through the actual data processing, the improved two methods could effectively eliminate the stripes in the image, improve the target temperature inversion accuracy in a variety of complex scenes, and enhance the visual effect of the image. Moreover, the accuracy of temperature inversion of targets in various complex scenarios is also improved, which will greatly improve the quantitative availability of infrared remote sensing data.
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Qu, X., Lin, X., Li, M. (2020). Research on Infrared Image Quality Improvement Based on Ground Compensation. In: Urbach, H., Yu, Q. (eds) 5th International Symposium of Space Optical Instruments and Applications. ISSOIA 2018. Springer Proceedings in Physics, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-27300-2_34
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DOI: https://doi.org/10.1007/978-3-030-27300-2_34
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