8 December 2011 Tropical cyclones center locating based on satellite cloud images
Author Affiliations +
Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030A (2011) https://doi.org/10.1117/12.902898
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
Tropical Cyclone (TC) center locating is a crucial step in analyzing TCs. TCs can be divided into Eye TC and No-eye TC. Different TCs have different characters. Before locating its center, TC should be detected from the whole satellite cloud image. Both infrared (IR) images and visible (VIS) images are used to detect TC. Some pattern recognition and image processing methods are applied in the paper. They are well used both in detecting TCs and getting the centers of Eye TCs. Gray Model and Chan-Vese model play important roles in locating the No-eye TCs' centers. Gray Model is used to predict the initial position of the next TC center. Since the cloud wall near the No-eye TC center is homocentric circle, Chan-Vese model (C-V model) is used to get TC contour. Experiments on MAN-YI (in 2007) and WUTIP (in 2007) show that the average error is within 0.2 degrees compared with the best track data supported by China Meteorological Administration.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenfeng Qiao, Yuanxiang Li, "Tropical cyclones center locating based on satellite cloud images", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030A (8 December 2011); doi: 10.1117/12.902898; https://doi.org/10.1117/12.902898
PROCEEDINGS
8 PAGES


SHARE
Back to Top