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 non-uniformity has been significantly removed. In addition, characteristic of image strips in the frequency domain is also obvious.

关键词： HJ-1B IRS Periodic strips Destriping Accuracy assessment

作者: Qiang Chen Yong Hu Cailan Gong Qiu Yin

作者单位: Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai, China Shanghai Center for Satellite Remote Sensing and Application, Shanghai, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 127-131

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）