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Detecting Tropical Cyclone Using Infrared Satellite Images

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dc.contributor.author Hsan, Thu Zar
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-07-22T08:15:12Z
dc.date.available 2019-07-22T08:15:12Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1178
dc.description.abstract Tropical Cyclone (TC) are among the most destructive natural disasters. Analysis of TC image from infrared satellite images is an active field of research. Many algorithms were developed in past few decades on TC image analysis. The location of TC is always an important and difficult problem. Many researchers have tried to detect the right Region of Interest (ROI) from the image automatically. In this paper, feature extraction method based on modified Morphological processing and the color segmentation approach based on the intensity transformation and color spaces are applied for automatically extraction the location of storms. 45 TCs occurred between 1989 and 2014, are tested and several experiments have been done to evaluate the proposed system. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject Satellite Images en_US
dc.subject Region of Interest en_US
dc.subject Morphological Processing en_US
dc.title Detecting Tropical Cyclone Using Infrared Satellite Images en_US
dc.type Article en_US

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