Striping Noise Removal of Satellite Images by Nonlinear Mapping

  • Euncheol Choi
  • Moon Gi Kang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)


The striping noise removal method of an along-track scanned satellite image is considered in this paper. Nonuniformity of detectors caused by imperfect calibration and the drift of detector characteristics generates striping noise. The proposed nonlinear mapping consists of offset component correction (OCC) and nonlinear component correction (NCC). OCC is executed first under the assumption that the tendency of temporal (column) mean changes slowly across the detectors. Secondly, NCC, which is the least square approach for each of the same input intensity, is performed to reflect the nonlinear characteristics of the detector. The effectiveness of the proposed algorithm is demonstrated experimentally with real satellite images.


Satellite Image Noise Removal Degraded Image Histogram Match Reference Column 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Horn, B.K.P.: Destriping LANDSAT MSS Images by Histogram Modification. Computer Graphics and Image Processing 10, 69–83 (1979)CrossRefGoogle Scholar
  2. 2.
    Corsini, G., Diani, M., Walzel, T.: Striping Removal in MOS-B Data. IEEE Transactions on Geoscience and Remote Sensing 38, 1013–1015 (2000)CrossRefGoogle Scholar
  3. 3.
    Pan, J.J.: Spectral Analysis and Filtering Techniques in Digital Spacial Data Processing. Photogrammetric Engineering and Remote Sensing 72, 28–55 (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Euncheol Choi
    • 1
    • 2
  • Moon Gi Kang
    • 1
  1. 1.Biometrics Engineering Research Center, School of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea
  2. 2.Research and Development DivisionEO System Co., Ltd.IncheonKorea

Personalised recommendations