Land Masking Methods of Sentinel-1 SAR Imagery for Ship Detection Considering Coastline Changes and Noise
KCI
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Title
- Land Masking Methods of Sentinel-1 SAR Imagery for Ship Detection Considering Coastline Changes and Noise
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Author(s)
- 배정주; 양찬수
- KIOST Author(s)
- Yang, Chan Su(양찬수)
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Alternative Author(s)
- 배정주; 양찬수
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Publication Year
- 2017-08
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Abstract
- Since land pixels often generate false alarms in ship detection using Synthetic Aperture Radar (SAR), land masking is a necessary step which can be processed by a land area map or water database. However, due to the continuous coastline changes caused by newport, bridge, etc., an updated data should be considered to mask either the land or the oceanic part of SAR. Furthermore, coastal concrete facilities make noise signals, mainly caused by side lobe effect. In this paper, we propose two methods. One is a semi-automatic water body data generation method that consists of terrain correction, thresholding, and median filter. Another is a dynamic land masking method based on water database. Based on water database, it uses a breadth-first search algorithm to find and mask noise signals from coastal concrete facilities. We verified our methods using Sentinel-1 SAR data. The result shows that proposed methods remove maximum 84.42% of false alarms.
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ISSN
- 1225-6161
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/1172
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Bibliographic Citation
- 대한원격탐사학회지, v.33, no.4, pp.437 - 444, 2017
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Publisher
- 대한원격탐사학회
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Keywords
- Land Masking; Sentinel-1; Ship Detection; Synthetic Aperture Radar
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Type
- Article
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Language
- English
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