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| Session | KB.1.2 Ocean and Space Technology Collaboration 2 |
| Session Co-Chair(s) |
Wonkook Kim
Peng Ren |
| Day | Wednesday, May 30, 2018 |
| Time | 08:30 - 10:10 |
| Room | Room 503 |
| PAPERS | |
| Presenting Author: |
Wonkook Kim, Korea Institute of Ocean Science and Technology |
| Author(s) |
Wonkook Kim, Korea Institute of Ocean Science and Technology Tai-Hyun Han, Korea Institute of Ocean Science and Technology Jun Myoung Choi, Korea Institute of Ocean Science and Technology Seung Won Jung, Korea Institute of Ocean Science and Technology Donhyug Kang, Korea Institute of Ocean Science and Technology |
| Paper Title | Investigating optical properties of red tide in a turbid coastal area near Tongyeong, South Korea |
| Presenting Author: |
Peng Ren, China University of Petroleum (East China) |
| Author(s) |
Xuanwen Tao, China University of Petroleum (East China) Tingwei Cui, State Oceanic Administration ZhiQiang Yu, China University of Petroleum (East China) Peng Ren, China University of Petroleum (East China) |
| Paper Title | Locality Preserving Endmember Extraction for Estimating Green Algae Area |
| Presenting Author: |
Jun Choi, KIOST |
| Author(s) |
Jun Choi, KIOST Wonkook Kim, Korea Institute of Ocean Science and Technology |
| Paper Title | Applications of surface velocity current derived from Geostationary Ocean Color Imager (GOCI) |
| Presenting Author: |
Audrey Minghelli, University of Toulon |
| Author(s) |
Audrey Minghelli, University of Toulon Manchun Lei, Institut Géographique National Sabine Charmasson, Institut de radioprotection et de Sûreté Nucléaire Vincent Rey, Université de Toulon |
| Paper Title | Suspended Particulate Matter monitoring with GOCI images after the Tohoku tsunami (March 2011) |
| Presenting Author: |
Xin Sun, Ocean University of China |
| Author(s) |
Xueying Ma, Ocean University of China Xin Sun, Ocean University of China Junyu Dong, Ocean University of China Qiong Li, Ocean University of China Hao Su, Ocean University of China |
| Paper Title | Study of the enteromorpha identification based on machine learning technology |