- Tytuł:
- Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion
- Autorzy:
- Szuster, Piotr
- Powiązania:
- https://bibliotekanauki.pl/articles/307700.pdf
- Data publikacji:
- 2019
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
big data
blob extraction
data fusion
data integration
image processing
radar images - Opis:
- Earth’s atmosphere is monitored by a multitude of sensors. It is the troposphere that is of crucial importance for human activity, as it is there that the weather phenomena take place. Weather observations are performed by surface sensors monitoring, inter alia, humidity, temperature and winds. In order to observe the developments taking place in the atmosphere, especially in the clouds, weather radars are commonly used. They monitor severe weather that is associated with storm clouds, cumulonimbuses, which create precipitation visible on radar screens. Therefore, radar images can be utilized to track storm clouds in a data fusion system. In this paper an algorithm is developed for the extraction of blobs (interesting areas in radar imagery) used within data fusion systems to track storm cells. The algorithm has been tested with the use of real data sourced from a weather radar network. 100% of convection cells were detected, with 90% of them being actual thunderstorms.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2019, 4; 65-73
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł