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 © Springer-Verlag Berlin Heidelberg 2006.