Striping noise removal of satellite images by nonlinear mapping

Euncheol Choi; Moon Gi Kang

doi:10.1007/11867661_65

Striping noise removal of satellite images by nonlinear mapping

Euncheol Choi, Moon Gi Kang

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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.¹

Original language	English
Title of host publication	Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
Publisher	Springer Verlag
Pages	722-729
Number of pages	8
ISBN (Print)	3540448942, 9783540448945
DOIs	https://doi.org/10.1007/11867661_65
Publication status	Published - 2006
Event	3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal Duration: 2006 Sep 18 → 2006 Sep 20

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4142 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Image Analysis and Recognition, ICIAR 2006
Country	Portugal
City	Povoa de Varzim
Period	06/9/18 → 06/9/20

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11867661_65

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Choi, E., & Kang, M. G. (2006). Striping noise removal of satellite images by nonlinear mapping. In Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings (pp. 722-729). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4142 LNCS). Springer Verlag. https://doi.org/10.1007/11867661_65

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Choi, E & Kang, MG 2006, Striping noise removal of satellite images by nonlinear mapping. in Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4142 LNCS, Springer Verlag, pp. 722-729, 3rd International Conference on Image Analysis and Recognition, ICIAR 2006, Povoa de Varzim, Portugal, 06/9/18. https://doi.org/10.1007/11867661_65

Striping noise removal of satellite images by nonlinear mapping. / Choi, Euncheol; Kang, Moon Gi.

Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings. Springer Verlag, 2006. p. 722-729 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4142 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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

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Choi E, Kang MG. Striping noise removal of satellite images by nonlinear mapping. In Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings. Springer Verlag. 2006. p. 722-729. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11867661_65