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Journal Article Performance Improvement of Wave Information Retrieval Algorithm Using Noise Reduction
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Authors
Byung-Gil Lee, Dong-hee Lim, Jin-soo Kim
Issue Date
2017-09
Citation
Journal of Information and Communication Convergence Engineering, v.15, no.3, pp.175-181
ISSN
2234-8255
Publisher
한국정보통신학회
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.6109/jicce.2017.15.3.175
Abstract
This paper describes the upgrade of an existing wave information retrieval algorithm by employing noise reduction in the pixel domain. Several algorithms for collecting wave information parameters from X-band radar image sequences including the wind field and current velocity have been developed over the past three decades. Using these algorithms, a band-pass filter (BPF) is applied to remove the non-wave contribution from the image spectra after the sea surface current velocity has been computed. However, such BPF designs have been both complex and insufficient in removing undesired components in Xband radar images. For this study, to improve the performance of wave information retrieval, an efficient noise reduction algorithm is incorporated into a regular wave information retrieval process. That is, the proposed algorithm was designed for operation in a more proper manner by effectively removing the undesired components in the pixel domain. Experiment results demonstrate that the proposed algorithm produces very close estimates to the buoy data records under undesirable noise conditions.
KSP Keywords
Band-Pass Filter(BPF), Experiment results, Image sequences, Noise Reduction(NR), Radar image, Regular wave, Sea surface current, Wind field, current velocity, information retrieval algorithm, noise reduction algorithm