Extraction of auroral oval boundaries from UVI images: A new FLICM clustering-based method and its evaluation

Based on the fuzzy local information c-means (FLICM) clustering algorithm, a new method is developed for extracting the equatorward and poleward boundaries of the auroral oval from images acquired by the Ultraviolet Imager (UVI) aboard the POLAR satellite. First, the method iteratively segments the...

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Bibliographic Details
Main Authors: Qian, Wang, Qinghu, Meng, Zejun, Hu, Zanyang, Xing, Jimin, Liang, Hongqiao, Hu
Format: Article in Journal/Newspaper
Language:English
Published: Polar Research Institute of China - PRIC 2011
Subjects:
Space
Advances in Polar Science
Polar Science
Online Access:http://library.arcticportal.org/2427/
http://library.arcticportal.org/2427/1/A20110306.pdf
Description
Summary:Based on the fuzzy local information c-means (FLICM) clustering algorithm, a new method is developed for extracting the equatorward and poleward boundaries of the auroral oval from images acquired by the Ultraviolet Imager (UVI) aboard the POLAR satellite. First, the method iteratively segments the UVI image with the FLICM clustering algorithm, according to an integrity criterion for the segmented auroral oval. Then, possible gaps in the extracted auroral oval are filled, based on prior knowledge of its shape. To evaluate the method objectively, the extracted boundaries are compared with the precipitating electron boundaries determined from DMSP satellite precipitation particle data. The evaluation results demonstrate that the proposed method generates more accurate auroral boundaries than traditional methods.

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