Striping noise removal of satellite images by nonlinear mapping

Euncheol Choi, Moon Gi Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.1

Original languageEnglish
Title of host publicationImage Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Print)3540448942, 9783540448945
Publication statusPublished - 2006
Event3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal
Duration: 2006 Sep 182006 Sep 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4142 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Image Analysis and Recognition, ICIAR 2006
CityPovoa de Varzim

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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