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ISSN : 1229-3431(Print)
ISSN : 2287-3341(Online)

Journal of the Korean Society of Marine Environment and Safety Vol.29 No.6 pp.536-542
DOI : https://doi.org/10.7837/kosomes.2023.29.6.536

Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques

Won-Been Park^*, Heung-Bae Choi^**†, Myeong-Soo Han^***, Ho-Sik Um^****, Yong-Sik Song^*****

^* Assistant Research Engineer, GeoSystem Research Corp., Gyeonggi 15870, Korea
^** Executive Director, GeoSystem Research Corp., Gyeonggi 15870, Korea
^*** Research Engineer, GeoSystem Research Corp., Gyeonggi 15870, Korea
^**** Executive Director, GeoSystem Research Corp., Gyeonggi 15870, Korea
^***** Executive Vice President, GeoSystem Research Corp., Gyeonggi 15870, Korea

* First Author : wbpark@geosr.com, 031-5180-5859

^† Corresponding Author : hbchoi@geosr.com, 031-5180-5862

Received Review Accepted

Abstract

Key Words : Deep-learning, LaMa, Bilinear interpolation, Bicubic interpolation, Ostia, Satellite image restoration

딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구

박원빈^*, 최흥배^**†, 한명수^***, 엄호식^****, 송용식^*****

^* ㈜지오시스템리서치 주임
^** ㈜지오시스템리서치 상무이사
^*** ㈜지오시스템리서치 선임,
^**** ㈜지오시스템리서치 상무이사
^***** ㈜지오시스템리서치 전무이사

초록

키워드 : Deep-learning, LaMa 기법, Bilinear interpolation, Bicubic interpolation, Ostia, 위성영상 복원

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