| Paper Abstract and Keywords |
| Presentation |
2024-02-19 12:00
Artificial intelligence super-resolution technology for optical satellite images
Yuhei Kikuya, Toshiki Fujino, Kohei Kurihara, Yoshitaka Toyoda, Muneharu Kuwata (Mitsubishi Electric) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the need for services and solutions using satellite imagery has been increasing. By using satellite imagery, it is possible to observe a wide area. On the other hand, since satellite imagery are taken at a high altitude, there is an issue in that ground resolution is degraded compared to drones and aircraft. Therefore, if it is possible to generate high-resolution imagery using super-resolution technology from satellite imagery, it is expected that the use of satellite imagery will expand by reducing the cost of introducing imagery. This time, we utilized our own satellite imagery simulation technology to perform fine-tuning of AI super-resolution. Specifically, we created a lot of training data that accurately simulates the resolution and blur characteristics of satellite imagery based on high-resolution aerial photographs. As a result, the precision reproducibility of small objects has improved in super-resolution, which improves satellite imagery with a resolution of 30 cm to the equivalent of 15 cm. Additionally, as a result of comparing the vehicle detection precision of object detection AI using imagery before and after super-resolution processing, we confirmed that the detection rate twice was increased by super-resolution processing. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Super-Resolution / optical satellite imagery / Artificial Intelligence / imagery simulation / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 48, no. 6, AIT2024-7, pp. 34-38, Feb. 2024. |
| Paper # |
AIT2024-7 |
| Date of Issue |
2024-02-12 (MMS, ME, AIT) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-ITS IEICE-IE ME AIT MMS |
| Conference Date |
2024-02-19 - 2024-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
AIT |
| Conference Code |
2024-02-ITS-IE-ME-AIT-MMS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Artificial intelligence super-resolution technology for optical satellite images |
| Sub Title (in English) |
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| Keyword(1) |
Super-Resolution |
| Keyword(2) |
optical satellite imagery |
| Keyword(3) |
Artificial Intelligence |
| Keyword(4) |
imagery simulation |
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| 1st Author's Name |
Yuhei Kikuya |
| 1st Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 2nd Author's Name |
Toshiki Fujino |
| 2nd Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 3rd Author's Name |
Kohei Kurihara |
| 3rd Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 4th Author's Name |
Yoshitaka Toyoda |
| 4th Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
| 5th Author's Name |
Muneharu Kuwata |
| 5th Author's Affiliation |
Mitsubishi Electric Corporation (Mitsubishi Electric) |
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| Speaker |
Author-1 |
| Date Time |
2024-02-19 12:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
AIT |
| Paper # |
MMS2024-7, ME2024-23, AIT2024-7 |
| Volume (vol) |
vol.48 |
| Number (no) |
no.6 |
| Page |
pp.34-38 |
| #Pages |
5 |
| Date of Issue |
2024-02-12 (MMS, ME, AIT) |
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