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Title: Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion, Journal of Telecommunications and Information Technology, 2019, nr 4

Creator:

Szuster, Piotr

Date:

2019, nr 4

Resource Type:

artykuł

Description:

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

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2118

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

image processing big data data fusion blob extraction data integration radar images

Object collections:

Last modified:

May 18, 2020

In our library since:

Feb 21, 2020

Number of object content hits:

83

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2409

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Edition name Date
Szuster Piotr, 2019, nr 4, Journal of Telecommunications and Information Technology, Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion, 2019, nr 4 May 18, 2020

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