| Presentation | 2019-09-13 Denoising and Inpainting of Sea Surface Temperature Image with Adversarial Physics Model Loss Nobuyuki Hirahara, Motoharu Sonogashira, Hidekazu Kasahara, Masaaki Iiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | SSTs are essential information for ocean-related industries but are hard to measure. Although multi-spectral imaging sensors on meteorological satellites are used for measuring SSTs over a wide area, they cannot measure sea temperature in regions covered by clouds, so most of the temperature data will be partially occluded. In meteorology, data assimilation with physics-based simulation is used for interpolating occluded SSTs, and can generate physically-correct SSTs that match observations by satellites, but it requires huge computational cost. We propose a low-cost learning-based method using pre-computed data-assimilation SSTs. Our restoration model employs adversarial physical model loss that evaluates physical correctness of generated SST images, and restores SST images in real time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image restoration / satellite image / sea surface temperature / adversarial learning |
| Paper # | AI2019-24 |
| Date of Issue | 2019-09-06 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2019/9/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Denoising and Inpainting of Sea Surface Temperature Image with Adversarial Physics Model Loss |
| Sub Title (in English) | |
| Keyword(1) | image restoration |
| Keyword(2) | satellite image |
| Keyword(3) | sea surface temperature |
| Keyword(4) | adversarial learning |
| 1st Author's Name | Nobuyuki Hirahara |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Motoharu Sonogashira |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 3rd Author's Name | Hidekazu Kasahara |
| 3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 4th Author's Name | Masaaki Iiyama |
| 4th Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2019-09-13 |
| Paper # | AI2019-24 |
| Volume (vol) | vol.119 |
| Number (no) | AI-202 |
| Page | pp.pp.31-36(AI), |
| #Pages | 6 |
| Date of Issue | 2019-09-06 (AI) |