A STUDY ON DETECTION ACCURACY OF MARINE ORGANISM BASED ON MULTI-SENSOR DATA

Title
A STUDY ON DETECTION ACCURACY OF MARINE ORGANISM BASED ON MULTI-SENSOR DATA
Author(s)
신지선; 민지은; 유주형
KIOST Author(s)
Shin, Jisun(신지선)Ryu, Joo Hyung(유주형)
Publication Year
2017-05-18
Abstract
The blooms of green and red tide in the Yellow Sea and the East China Sea have been reported every year, and the damage caused by them around the Korean Peninsula is gradually increasing. Satellite remote sensing data has continuously been used to study the detection and monitoring. When each detection algorithm is applied to multi-sensor data, the detection accuracy depends on the difference arise from the sensor characteristics such as spatial, spectral, radiometric resolution and SNR etc. Also, green and red tide should be detected considering the size, color, shape and so on. The objective of this study is to analysis the detection accuracy of green and red tides. The images of GOCI and Landsat OLI were used for this study. In the case of Landsat, the detailed spatial characterization is good, but the signal value of green and red tide patches is small due to the low SNR. GOCI effectively detects the small signal value due to the high spectral resolution and SNR, but the spatial distribution is overestimated due to low spatial resolution. By identifying the advantages and disadvantages of multi-sensor data, it will be possible to estimate accuracy area and concentration for marine organisms.used to study the detection and monitoring. When each detection algorithm is applied to multi-sensor data, the detection accuracy depends on the difference arise from the sensor characteristics such as spatial, spectral, radiometric resolution and SNR etc. Also, green and red tide should be detected considering the size, color, shape and so on. The objective of this study is to analysis the detection accuracy of green and red tides. The images of GOCI and Landsat OLI were used for this study. In the case of Landsat, the detailed spatial characterization is good, but the signal value of green and red tide patches is small due to the low SNR. GOCI effectively detects the small signal value due to the high spectral resolution and SNR, but the spatial distribution is overestimated due to low spatial resolution. By identifying the advantages and disadvantages of multi-sensor data, it will be possible to estimate accuracy area and concentration for marine organisms.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23970
Bibliographic Citation
International Symposium on Remote Sensing 2017, pp.191 - 194, 2017
Publisher
Remote Sensing Society of Japan
Type
Conference
Language
English
Publisher
Remote Sensing Society of Japan
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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