Destriping IRS image based on image processing methods

Qiang Chen; Yong Hu; Cailan Gong; Qiu Yin

doi:10.1117/12.896089

8 July 2011 Destriping IRS image based on image processing methods

Qiang Chen, Yong Hu, Cailan Gong, Qiu Yin

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80090P (2011) https://doi.org/10.1117/12.896089
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

China Environment and disaster monitoring and forecasting satellite was successfully launched in 2008, the Infrared Multispectral Camera (IRS) on the satellite compared to other similar instruments has outstanding features and widely application. However, because it scans by multiple sensors and differential sensitivities of sensors to incoming radiation, the images display periodic strips, it impacts follow-up quantitative research. In this paper, image processing methods, including two-point algorithm based on image, histogram matching algorithm and moment matching algorithm are put into practice in destriping IRS thermal infrared channel images, also called non-uniformity correction. By evaluating the average line of standard deviation, the average standard deviation and generalized noise law, strips caused by nonuniformity has been significantly removed. In addition, characteristic of image strips in the frequency domain is also obvious.

Citation Download Citation

Qiang Chen, Yong Hu, Cailan Gong, and Qiu Yin "Destriping IRS image based on image processing methods", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090P (8 July 2011); https://doi.org/10.1117/12.896089

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