An Improved Method of Land Masking for Synthetic Aperture Radar-based Ship Detection SCIE SCOPUS

Cited 3 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
An Improved Method of Land Masking for Synthetic Aperture Radar-based Ship Detection
Author(s)
Yang, Chan-Su; Park, Ju-Han; Harun-Al Rashid, Ahmed
KIOST Author(s)
Yang, Chan Su(양찬수)Park, Ju Han(박주한)
Publication Year
2018-07
Abstract
Land masking of Synthetic Aperture Radar (SAR) images is generally accomplished by applying either archived shoreline databases or image segmentation. However, those methods cannot be solely applied to geographical areas complicated with many small islands and exposed rocks. Therefore, we have proposed a new procedure where Sobel edge extraction is applied to detect the edges of all objects from KOMPSAT-5 X-band SAR images, followed by a merging process with the edges from the land objects based on Electronic Navigational Chart (ENC) coastlines. Using the land mask data, geometrically corrected SAR images were masked before applying a ship detection algorithm. This land masking procedure was applied to several images covering different areas of the Korean Peninsula. The results show that land targets such as newly constructed and natural objects were also masked, and thus did not create false alarms during ship detection. Therefore, this method can be used to assist precise ship detection using SAR images in coastal waters.
ISSN
0373-4633
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/868
DOI
10.1017/S037346331800005X
Bibliographic Citation
JOURNAL OF NAVIGATION, v.71, no.4, pp.788 - 804, 2018
Publisher
CAMBRIDGE UNIV PRESS
Subject
EDGE-DETECTION; SAR IMAGES; SATELLITE; EXTRACTION; COASTLINE; PRODUCTS; AIS
Keywords
Land masking; SAR; KOMPSAT-5; ENC
Type
Article
Language
English
Document Type
Article
Publisher
CAMBRIDGE UNIV PRESS
Related Researcher
Research Interests

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

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