Auroral oval segmentation from ultraviolet imager images is of significance in the field of
spatial physics. Compared with various existing image segmentation methods, level set is a …

In this paper we introduce an adaptive image thresholding technique via minimax
optimization of a novel energy functional that consists of a non-linear convex combination of …

In this paper, we propose a novel weakly supervised semantic segmentation (WSSS)
method that uses image tags as supervision to achieve joint pixel-level localization of the …

Auroral oval segmentation is of great significance in the field of spatial physics. However,
random noise, low contrast and dayglow contamination in ultraviolet imager (UVI) images …

Aurora is a recurrent feature of the atmosphere, acting as a mirror of otherwise invisible
coupling between different atmospheric layers. Advanced processing of auroral images has …

As an effect of solar‐terrestrial activity, the aurora has always been a focus of substorm
research. The expansion of the aurora is one of the important characteristics during …

A new method that exploits shape to localize the auroral oval in satellite imagery is
introduced. The core of the method is driven by the linear least-squares (LLS) randomized …

The shape of the earth's aurora serves as a direct monitor of important physical processes in
the magnetosphere. Detecting auroral regions is therefore a crucial step in studying auroral …

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 …

Auroral oval segmentation is of great significance to the study of auroral activities. In this
paper, we propose an automatic maximal similarity based region merging (MSRM) method …