Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation
Visibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. This paper investigates image processing techniques for object detection and visibility determination using static cameras. It proposes a comprehensive method that includes...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2023-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2023/6285569 |
| _version_ | 1827077608185004032 |
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| author | David Sládek |
| author_facet | David Sládek |
| author_sort | David Sládek |
| collection | DOAJ |
| description | Visibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. This paper investigates image processing techniques for object detection and visibility determination using static cameras. It proposes a comprehensive method that includes image preprocessing, landmark identification, and visibility estimation, mirroring the observation process of professional meteorological observers. This study validates the visibility observation procedure using the k-nearest neighbors machine learning method across six locations, including four in the Czech Republic, one in the USA, and one in Germany. By comparing our results with professional observations, the paper demonstrates the suitability of the proposed method for operational application, particularly in foggy and low visibility conditions. This versatile method holds potential for adoption by meteorological services worldwide. |
| first_indexed | 2024-03-12T12:38:55Z |
| format | Article |
| id | doaj.art-fdf57554395c4d5ba47ccf4fc17a37db |
| institution | Directory Open Access Journal |
| issn | 1687-9317 |
| language | English |
| last_indexed | 2025-03-20T02:16:28Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj.art-fdf57554395c4d5ba47ccf4fc17a37db2024-10-03T07:51:48ZengHindawi LimitedAdvances in Meteorology1687-93172023-01-01202310.1155/2023/6285569Application of K-Nearest Neighbor Classification for Static Webcams Visibility ObservationDavid Sládek0University of DefenceVisibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. This paper investigates image processing techniques for object detection and visibility determination using static cameras. It proposes a comprehensive method that includes image preprocessing, landmark identification, and visibility estimation, mirroring the observation process of professional meteorological observers. This study validates the visibility observation procedure using the k-nearest neighbors machine learning method across six locations, including four in the Czech Republic, one in the USA, and one in Germany. By comparing our results with professional observations, the paper demonstrates the suitability of the proposed method for operational application, particularly in foggy and low visibility conditions. This versatile method holds potential for adoption by meteorological services worldwide.http://dx.doi.org/10.1155/2023/6285569 |
| spellingShingle | David Sládek Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation Advances in Meteorology |
| title | Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation |
| title_full | Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation |
| title_fullStr | Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation |
| title_full_unstemmed | Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation |
| title_short | Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation |
| title_sort | application of k nearest neighbor classification for static webcams visibility observation |
| url | http://dx.doi.org/10.1155/2023/6285569 |
| work_keys_str_mv | AT davidsladek applicationofknearestneighborclassificationforstaticwebcamsvisibilityobservation |