| Presentation | 2019-11-01 Sea Fog Classification from GOCI Images using CNN Transfer Learning Models Ho-Kun Jeon, Jonathan Edwin, Seungryong Kim, Chan-Su Yang, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This study provides an approaching method of classifying sea fog from Geostationary Ocean Color Image, an optical satellite of South Korea. Convolution Neural Network Transfer Learning (CNN-TL) model is used because of a higher classification ability than a single CNN. The CNN-TL model is combined with dataset VGG19 and ResNet50 which have high performance but less layer than other datasets. In classification with 3-bands training images, the CNN-TL shows 96.7% and 93.0% in VGG19 and ResNet50, respectively. On the other hand, only CNN with identical training images shows the accuracy of 85.3% in VGG19 and 52% in VGG19 and ResNet 50. The result can be used to automate local sea fog detection and prediction. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sea Fog / CNN / Classification / Transfer learning / Ocean color |
| Paper # | SANE2019-65 |
| Date of Issue | 2019-10-24 (SANE) |
| Conference Information | |
| Committee | SANE |
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| Conference Date | 2019/10/31(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KOREA (Jeju) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2019 |
| Chair | Akitsugu Nadai(NICT) |
| Vice Chair | Hiroyoshi Yamada(Niigata Univ.) / Makoto Tanaka(Tokai Univ.) |
| Secretary | Hiroyoshi Yamada(Univ. of Electro-Comm.) / Makoto Tanaka(Mitsubishi Electric) |
| Assistant | Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Shunichi Futatsumori(ENRI) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sea Fog Classification from GOCI Images using CNN Transfer Learning Models |
| Sub Title (in English) | |
| Keyword(1) | Sea Fog |
| Keyword(2) | CNN |
| Keyword(3) | Classification |
| Keyword(4) | Transfer learning |
| Keyword(5) | Ocean color |
| 1st Author's Name | Ho-Kun Jeon |
| 1st Author's Affiliation | Korea Institute of Ocean Science & Technology(KIOST) |
| 2nd Author's Name | Jonathan Edwin |
| 2nd Author's Affiliation | Korea Institute of Ocean Science & Technology(KIOST) |
| 3rd Author's Name | Seungryong Kim |
| 3rd Author's Affiliation | Korea Institute of Ocean Science & Technology(KIOST) |
| 4th Author's Name | Chan-Su Yang |
| 4th Author's Affiliation | Korea Institute of Ocean Science & Technology(KIOST) |
| Date | 2019-11-01 |
| Paper # | SANE2019-65 |
| Volume (vol) | vol.119 |
| Number (no) | SANE-255 |
| Page | pp.pp.87-90(SANE), |
| #Pages | 4 |
| Date of Issue | 2019-10-24 (SANE) |