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Prediction the Direction of Storm Based on the Sub Pixel Registration

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dc.contributor.author Thinzar, Cho
dc.contributor.author Aye, Nyein
dc.date.accessioned 2019-07-02T06:52:28Z
dc.date.available 2019-07-02T06:52:28Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/71
dc.description.abstract In the field of natural disaster management, storm detection, forecasting the weather condition and change detection are occupied as essential role. The storm direction detection is provided to manage and to prevent the possible attacked region of the land. The storm regions are extracted by the feature extraction method based on Morphological processing and the color segmentation approach based on the intensity transformation and color spaces. The movement of the interested cloud region are estimated by the modified sub pixel registration approach. The direction of the storm can be tracked from these computations. Especially, the attacked region of Myanmar Land is forecasted from multi-date satellite images. The digital image correlation method is developed based on the subpixel accuracy method. According to the experiment and its result, the proposed method work effectively. en_US
dc.language.iso en en_US
dc.publisher Thirteenth International Conferences on Computer Applications(ICCA 2015) en_US
dc.subject Connected neighborhood en_US
dc.subject digital image correlation en_US
dc.subject sub-pixel registration algorithm en_US
dc.title Prediction the Direction of Storm Based on the Sub Pixel Registration en_US
dc.type Article en_US

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