Hurricane eye morphology extraction from SAR images by texture analysis  

作　　者：Weicheng NI Ad STOFFELEN Kaijun REN 

机构地区：[1]Royal Netherlands Meteorological Institute,De Bilt 3731GA,The Netherlands [2]College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China

出　　处：《Frontiers of Earth Science》2022年第1期190-205,共16页地球科学前沿（英文版）

基　　金：supported by the National Key Research and Development Program of China(No.2018YFC1406206);supported by the National Natural Science Foundation of China(Grant No.61802424).Ad Stoffelen is supported by the EUMETSAT OSI SAF.

摘　　要：Tropical hurricanes are among the most devastating hazards on Earth.Knowledge about its intense inner-core structure and dynamics will improve hurricane forecasts and advisories.The precise morphological parameters extracted from high-resolution spaceborne Synthetic Aperture Radar(SAR)images,can play an essential role in further exploring and monitoring hurricane dynamics,especially when hurricanes undergo amplification,shearing,eyewall replacements and so forth.Moreover,these parameters can help to build guidelines for wind calibration of the more abundant,but lower resolution scatterometer wind data,thus better linking scatterometer wind fields to hurricane categories.In this paper,we develop a new method for automatically extracting the hurricane eyes from C-band SAR data by constructing Gray Level-Gradient Co-occurrence Matrices(GLGCMs).The hurricane eyewall is determined with a two-dimensional vector,generated by maximizing the class entropy of the hurricane eye region in GLGCM.The results indicate that when the hurricane is weak,or the eyewall is not closed,the hurricane eye extracted with this automatic method still agrees with what is observed visually,and it preserves the texture characteristics of the original image.As compared to Du’s wavelet analysis method and other morphological analysis methods,the approach developed here has reduced artefacts due to factors like hurricane size and has lower programming complexity.In summary,the proposed method provides a new and elegant choice for hurricane eye morphology extraction.

关 键 词：hurricane eyewall morphological parameter texture analysis Gray Level-Gradient Co-occurrence Matrix Two-dimensional Entropy Maximization 

分 类 号：P44[天文地球—大气科学及气象学]