A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images
Cloud detection for ground-based sky images has attracted much attention in cloud-related fields. In this paper, we proposed a cloud detection algorithm that reduced the sunlight interference in the image. The solar location method was introduced to track the sun in the image used for feature calcul...
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| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/10/11/640 |
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doaj-382eb3049b554aa296778b55921f11942020-11-25T02:28:31ZengMDPI AGAtmosphere2073-44332019-10-01101164010.3390/atmos10110640atmos10110640A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky ImagesXin Li0Zhiying Lu1Qingxia Zhou2Zhengyang Xu3School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaCloud detection for ground-based sky images has attracted much attention in cloud-related fields. In this paper, we proposed a cloud detection algorithm that reduced the sunlight interference in the image. The solar location method was introduced to track the sun in the image used for feature calculation, which was suitable for the case where the camera could not be calibrated. Following this, the adjustable red green difference (ARGD) feature using red and green channels was proposed. The red weight in the feature was determined by the layering region division, which classified the degree of sunlight interference in the image, and the sky state, which discriminated whether there was sunlight interference in the image. Finally, a fixed zero threshold was applied to feature images in order to obtain the cloud detection results. Experimental results showed that the proposed algorithm performs better than the other algorithms and can effectively reduce the sunlight interference.https://www.mdpi.com/2073-4433/10/11/640clouds detectionsunlight interferencesolar locationground-based imagesimage processing |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Xin Li Zhiying Lu Qingxia Zhou Zhengyang Xu |
| spellingShingle |
Xin Li Zhiying Lu Qingxia Zhou Zhengyang Xu A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images Atmosphere clouds detection sunlight interference solar location ground-based images image processing |
| author_facet |
Xin Li Zhiying Lu Qingxia Zhou Zhengyang Xu |
| author_sort |
Xin Li |
| title |
A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images |
| title_short |
A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images |
| title_full |
A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images |
| title_fullStr |
A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images |
| title_full_unstemmed |
A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images |
| title_sort |
cloud detection algorithm with reduction of sunlight interference in ground-based sky images |
| publisher |
MDPI AG |
| series |
Atmosphere |
| issn |
2073-4433 |
| publishDate |
2019-10-01 |
| description |
Cloud detection for ground-based sky images has attracted much attention in cloud-related fields. In this paper, we proposed a cloud detection algorithm that reduced the sunlight interference in the image. The solar location method was introduced to track the sun in the image used for feature calculation, which was suitable for the case where the camera could not be calibrated. Following this, the adjustable red green difference (ARGD) feature using red and green channels was proposed. The red weight in the feature was determined by the layering region division, which classified the degree of sunlight interference in the image, and the sky state, which discriminated whether there was sunlight interference in the image. Finally, a fixed zero threshold was applied to feature images in order to obtain the cloud detection results. Experimental results showed that the proposed algorithm performs better than the other algorithms and can effectively reduce the sunlight interference. |
| topic |
clouds detection sunlight interference solar location ground-based images image processing |
| url |
https://www.mdpi.com/2073-4433/10/11/640 |
| work_keys_str_mv |
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