@inproceedings{e2ed44e25a3c42d8b136b2d3ed85b64e,
title = "Striping noise removal of satellite images by nonlinear mapping",
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",
author = "Euncheol Choi and Kang, {Moon Gi}",
year = "2006",
doi = "10.1007/11867661_65",
language = "English",
isbn = "3540448942",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "722--729",
booktitle = "Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings",
address = "Germany",
note = "3rd International Conference on Image Analysis and Recognition, ICIAR 2006 ; Conference date: 18-09-2006 Through 20-09-2006",
}