Prediction of Pair Trawl fishing Activity using Sar and AIS Data

Title
Prediction of Pair Trawl fishing Activity using Sar and AIS Data
Author(s)
Shin, Dae Woon; Yang, Chan Su
KIOST Author(s)
Shin, Dae Woon(신대운)Yang, Chan Su(양찬수)
Alternative Author(s)
신대운; 양찬수
Publication Year
2022-05-17
Abstract
In spite of several research works on ship detection from satellite images success in the detection of small
fishing vessels is still remarkably low. Therefore, a method is proposed to detect small ships from Sentinel-1 images for
the purpose of further identification of trawl fishing ships and finally to predict the pair trawl fishing. For this purpose,
an image contrast enhancement was applied to remove background and keep only the objects in images. We applied this
method to one Sentinel-1 GRDH image covering the Socheongcho area in the Yellow Sea and achieved 91% accuracy
in small trawl ship detection. Then automatic identification system data was used to identify the pair trawl fishing. Thus,
it is expected that application of the proposed methodology could enhance the marine surveillance.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/42487
Bibliographic Citation
ISRS 2022 (International Symposium on Remote Sensing 2022), 2022
Publisher
ISRS
Type
Conference
Language
English
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