2024-03-28T17:48:35Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/3425
2021-12-13T06:06:51Z
1582963302567:1597824273898
user-ucsy
Detecting Tropical Cyclone Using Infrared Satellite Images
Hsan, Thu Zar
Sein, Myint Myint
Tropical Cyclone (TC) are among the mostdestructive natural disasters. Analysis of TC imagefrom infrared satellite images is an active field ofresearch. Many algorithms were developed in pastfew decades on TC image analysis. The location ofTC is always an important and difficult problem.Many researchers have tried to detect the rightRegion of Interest (ROI) from the imageautomatically. In this paper, feature extractionmethod based on modified Morphological processingand the color segmentation approach based on theintensity transformation and color spaces are appliedfor automatically extraction the location of storms.45 TCs occurred between 1989 and 2014, are testedand several experiments have been done to evaluatethe proposed system.
2019-02-27
http://hdl.handle.net/20.500.12678/0000003425
https://meral.edu.mm/records/3425