GOCI를 이용한 해양 환경에서의 SAM 기반 이상 검출

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.