supported by National Natural Science Foundation of China (No. 40805048,No. 11026226);Typhoon Research Foundation of Shanghai Typhoon Institute/China Meteorological Administration (No. 2008ST01);Research Foundation of State Key Laboratory of Remote Sensing Science,Jointly sponsored by the Instituteof Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University (No. 2009KFJJ013);Research Foundation of State Key Laboratory of Severe Weather/Chinese Academy of Meteorological Sciences (No. 2008LASW-B03)
A novel nonlinear gray transform method is proposed to enhance the contrast of a typhoon cloud image.Generally,the typhoon cloud image obtained by a satellite cannot be directly used to make an accurate prediction of ...
Supported by the National Natural Science Foundation of China(40805048);Zhejiang Provincial Natural Science Foundation (Y506203);Shanghai Typhoon Institute/China Meteorological Administration(2008ST01);the State Key Laboratory of Severe Weather/Chinese Academy of Meteorological Sciences(2008LASW-B03);the Research Foundation of State Key Laboratory of Remote Sensing Science jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University(2009KFJJ013)
An efficient tropical cyclone(TC) cloud image segmentation method is proposed by combining the curvelet transform,the cubic B-Spline curve,and the continuous wavelet transform.In order to enhance the global and loca...