GOCI image enhancement using an MTF compensation technique for coastal water applications SCIE SCOPUS

Cited 11 time in WEB OF SCIENCE Cited 12 time in Scopus
Title
GOCI image enhancement using an MTF compensation technique for coastal water applications
Author(s)
Oh, Eunsong; Choi, Jong-Kuk
KIOST Author(s)
Choi, Jong Kuk(최종국)
Publication Year
2014-11-03
Abstract
The Geostationary Ocean Color Imager (GOCI) is the first optical sensor in geostationary orbit for monitoring the ocean environment around the Korean Peninsula. This paper discusses on-orbit modulation transfer function (MTF) estimation with the pulse-source method and its compensation results for the GOCI. Additionally, by analyzing the relationship between the MTF compensation effect and the accuracy of the secondary ocean product, we confirmed the optimal MTF compensation parameter for enhancing image quality without variation in the accuracy. In this study, MTF assessment was performed using a natural target because the GOCI system has a spatial resolution of 500 m. For MTF compensation with the Wiener filter, we fitted a point spread function with a Gaussian curve controlled by a standard deviation value (sigma). After a parametric analysis for finding the optimal degradation model, the s value of 0.4 was determined to be an optimal indicator. Finally, the MTF value was enhanced from 0.1645 to 0.2152 without degradation of the accuracy of the ocean color product. Enhanced GOCI images by MTF compensation are expected to recognize small-scale ocean products in coastal areas with sharpened geometric performance. (C) 2014 Optical Society of America
ISSN
1094-4087
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2670
DOI
10.1364/OE.22.026908
Bibliographic Citation
OPTICS EXPRESS, v.22, no.22, pp.26908 - 26918, 2014
Publisher
OPTICAL SOC AMER
Subject
GEOSTATIONARY; RESTORATION; DYNAMICS
Type
Article
Language
English
Document Type
Article
Publisher
OPTICAL SOC AMER
Related Researcher
Research Interests

GOCI-based PAR,Satellite-based Water Quality,Ocean color based Ecological Environment,GOCI 기반 PAR,위성활용 해수표층 수질,해색위성 기반 해수 생태환경

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