A deep-learning based water-level measurement method from CCTV camera images
As our previous work, we have reported a method to measure the river water level by capturing water gauge images of CCTV cameras for river monitoring into a computer and collating them with one taken at the time of low water level. For this time, we examined a method of measuring the river water lev...
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| Veröffentlicht in: | Journal of the Japan society of photogrammetry and remote sensing 2019, Vol.58(1), pp.28-33 |
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| container_issue | 1 |
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| container_title | Journal of the Japan society of photogrammetry and remote sensing |
| container_volume | 58 |
| creator | MAEHARA, Hideaki NAGASE, Momoyo KUCHI, Michihiro SUZUKI, Toshihisa TAIRA, Kenji |
| description | As our previous work, we have reported a method to measure the river water level by capturing water gauge images of CCTV cameras for river monitoring into a computer and collating them with one taken at the time of low water level. For this time, we examined a method of measuring the river water level by identifying the water border position based on the deep learning technology, targeting the non-installation sites of the water gauge. We also have estimated the effectiveness of the new method using actual river image data set. |
| doi_str_mv | 10.4287/jsprs.58.28 |
| format | Article |
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| ispartof | Journal of the Japan society of photogrammetry and remote sensing, 2019, Vol.58(1), pp.28-33 |
| issn | 0285-5844 1883-9061 |
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| source | J-STAGE Free; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Cameras Closed circuit television Collating Deep learning Position measurement Water levels |
| title | A deep-learning based water-level measurement method from CCTV camera images |
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