Destriping IRS image based on image processing methods

摘要

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.