GOCI를 이용한 해양 환경에서의 SAM 기반 이상 검출

Title
GOCI를 이용한 해양 환경에서의 SAM 기반 이상 검출
Alternative Title
Spectral Angle Mapping (SAM)-based Anomaly Detection in Ocean Environments using the GOCI
Author(s)
양현; 박영제; 배상수; 한희정
KIOST Author(s)
Yang, Hyun(양현)Park, Young Je(박영제)
Publication Year
2014-02-10
Abstract
The Geostationary Ocean Color Imager (GOCI) is the world’s first ocean color remote sensor platform operated on a geostationary orbit. This sensor platform receives ocean color data around the Korean Peninsula every hour, eight times a day. Therefore, GOCI can be utilized to observe subtle changes and to detect anomalies in ocean environments in real time. We here attempted to develop a spectral angle mapping (SAM)-based anomaly detection method. SAM is a method to directly compare test spectrum vectors to a predefined reference spectrum vector. The experimental result showed that the proposed method can efficiently detect the anomalies (e.g., the red tide) on the ocean area.. Therefore, GOCI can be utilized to observe subtle changes and to detect anomalies in ocean environments in real time. We here attempted to develop a spectral angle mapping (SAM)-based anomaly detection method. SAM is a method to directly compare test spectrum vectors to a predefined reference spectrum vector. The experimental result showed that the proposed method can efficiently detect the anomalies (e.g., the red tide) on the ocean area.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26444
Bibliographic Citation
2014 International Conference on Platform Technology and Service (PlatCon-14), pp.25 - 26, 2014
Publisher
ICT Platform Society
Type
Conference
Language
English
Publisher
ICT Platform Society
Related Researcher
Research Interests

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

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