Quick Search:       Advanced Search
Sun Ling,Tang Junwu,Zhang Jie. 2002. A quantitative striping removal algorithm for HY-1 CCD data. Acta Oceanologica Sinica, (3):355-371
A quantitative striping removal algorithm for HY-1 CCD data
A quantitative striping removal algorithm for HY-1 CCD data
Received:April 04, 2002  Revised:July 27, 2002
DOI:
Key words:Push-broom CCD camera  striping removal  image destriping
中文关键词:  Push-broom CCD camera  striping removal  image destriping
基金项目:This work was supported by the HY-1 satellite project of the National Satellite Ocean Application Service.
Author NameAffiliation
Sun Ling Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China 
Tang Junwu National Satellite Ocean Application Service(NSOAS), Beijing 100081, China 
Zhang Jie First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China 
Hits: 760
Download times: 588
Abstract:
      Striping is a common phenomenon in remote sensing imagery acquired by most spaceborne and 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.
中文摘要:
      Striping is a common phenomenon in remote sensing imagery acquired by most spaceborne and 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.
HTML View Full Text   View/Add Comment  Download reader
Close