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A quantitative striping removal algorithm for HY-1 CCD data
作者姓名:Sun Ling  Tang Junwu  Zhang Jie
作者单位:孙凌(Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China);唐军武(National Satellite Ocean Application Service (NSOAS), Beijing 100081, China);张杰(First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China)   
基金项目:This work was supported by the HY- 1 satellite project of the National Satellite Ocean Application Service.
摘    要:Striping is a common phenomenon in remote sensing imagery acquired by most spaceborneand airborne multispectral sensors. In contrast to the destriping of the images of optoelectronic mechanical scanners, fewer work has been done for push-broom CCD images. Based on the characteristics of HY -1 push-broom multispectral CCD camera and its prelaunch radiometric calibration results, the striping features are analyzed and a quantitative striping removal algorithm is proposed. The algorithm is to obtain the inter-detector equalization curves to reflect the differences between detectors by statistic analysis of the satellite imagery data set, and image stripes arising from the nonuniformity of the detectors of the CCD array can be removed using the estimated equalization curves. The preliminary results show that this method can effectively remove the stripes and preserve the radiometric accuracy of the raw data at the same time.

关 键 词:Push-broom  CCD  camera  striping  removal  image  destriping
收稿时间:4/4/2002 12:00:00 AM
修稿时间:2002/7/27 0:00:00

A quantitative striping removal algorithm for HY-1 CCD data
Sun Ling,Tang Junwu,Zhang Jie.A quantitative striping removal algorithm for HY-1 CCD data[J].Acta Oceanologica Sinica,2002,21(3):355-371.
Authors:Sun Ling  Tang Junwu and Zhang Jie
Institution:1.Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China2.National Satellite Ocean Application Service(NSOAS), Beijing 100081, China3.First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Abstract:Striping is a common phenomenon in remote sensing imagery acquired by most spaceborneand airborne multispectral sensors. In contrast to the destriping of the images of optoelectronic mechanical scanners, fewer work has been done for push-broom CCD images. Based on the characteristics of HY -1 push-broom multispectral CCD camera and its prelaunch radiometric calibration results, the striping features are analyzed and a quantitative striping removal algorithm is proposed. The algorithm is to obtain the inter-detector equalization curves to reflect the differences between detectors by statistic analysis of the satellite imagery data set, and image stripes arising from the nonuniformity of the detectors of the CCD array can be removed using the estimated equalization curves. The preliminary results show that this method can effectively remove the stripes and preserve the radiometric accuracy of the raw data at the same time.
Keywords:Push -broom CCD camera  striping removal  image destriping
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