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Striping Noise Removal of Satellite Images by Nonlinear Mapping

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Image Analysis and Recognition (ICIAR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4142))

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Abstract

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.

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References

  1. Horn, B.K.P.: Destriping LANDSAT MSS Images by Histogram Modification. Computer Graphics and Image Processing 10, 69–83 (1979)

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  2. Corsini, G., Diani, M., Walzel, T.: Striping Removal in MOS-B Data. IEEE Transactions on Geoscience and Remote Sensing 38, 1013–1015 (2000)

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  3. Pan, J.J.: Spectral Analysis and Filtering Techniques in Digital Spacial Data Processing. Photogrammetric Engineering and Remote Sensing 72, 28–55 (1988)

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Author information

Authors and Affiliations

  1. Biometrics Engineering Research Center, School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul, Korea

    Euncheol Choi & Moon Gi Kang

  2. Research and Development Division, EO System Co., Ltd., 542-7 Gajwa-dong, Seo-gu, Incheon, Korea

    Euncheol Choi

Authors
  1. Euncheol Choi
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  2. Moon Gi Kang
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, Rua Dr. Roberto Frias, University of Porto, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

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© 2006 Springer-Verlag Berlin Heidelberg

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Choi, E., Kang, M.G. (2006). Striping Noise Removal of Satellite Images by Nonlinear Mapping. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_65

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  • DOI: https://doi.org/10.1007/11867661_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44894-5

  • Online ISBN: 978-3-540-44896-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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