Minimum noise fraction 변환을 통한 GOCI L1B자료의 잡광기원 복사편차 교정

Title
Minimum noise fraction 변환을 통한 GOCI L1B자료의 잡광기원 복사편차 교정
Alternative Title
CORRECTION OF STRAY-LIGHT DRIVEN RADIOMETRIC INFLATION (SLRI) IN GOCI L1B DATA USING THE MINIMUM NOISE FRACTION (MNF) TRANSFORM
Author(s)
김원국; 안재현; 박영제
KIOST Author(s)
Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2015-04-22
Abstract
Geostationary Ocean Color Imager (GOCI) has suffered from what is called inter-slot radiometric discrepancy (ISRD), which creates clear radiometric discontinuity across adjacent slots in the GOCI Level 1B (L1B) images. Preliminary analysis shows that large ISRD is observed in Bands 6 (680 nm) and 8 (865 nm), and the magnitude of radiometric inflation can be up to 20% in top-of-atmosphere (TOA) radiance. This paper proposes an image-based correction method, where the stray-light driven inflation in the L1B images is modelled by using the minimum noise fraction (MNF) transform. The experiment results showed that the proposed correction method reduces the ISRD in Band 6 and Band 8 to less than 2% in most of the cases, recovering the spatial continuity of natural variability across the slot boundaries.ary analysis shows that large ISRD is observed in Bands 6 (680 nm) and 8 (865 nm), and the magnitude of radiometric inflation can be up to 20% in top-of-atmosphere (TOA) radiance. This paper proposes an image-based correction method, where the stray-light driven inflation in the L1B images is modelled by using the minimum noise fraction (MNF) transform. The experiment results showed that the proposed correction method reduces the ISRD in Band 6 and Band 8 to less than 2% in most of the cases, recovering the spatial continuity of natural variability across the slot boundaries.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/25626
Bibliographic Citation
International Symposium on Remote Sensing, pp.1, 2015
Publisher
ISRS
Type
Conference
Language
English
Publisher
ISRS
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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