Land Masking Methods of Sentinel-1 SAR Imagery for Ship Detection Considering Coastline Changes and Noise KCI

Title
Land Masking Methods of Sentinel-1 SAR Imagery for Ship Detection Considering Coastline Changes and Noise
Author(s)
배정주; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2017-08
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.
ISSN
1225-6161
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1172
Bibliographic Citation
대한원격탐사학회지, v.33, no.4, pp.437 - 444, 2017
Publisher
대한원격탐사학회
Keywords
Land Masking; Sentinel-1; Ship Detection; Synthetic Aperture Radar
Type
Article
Language
English
Publisher
대한원격탐사학회
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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