通过无边 Active Contours Without Edges (ACWE) 检测到的冠状孔的一致性量化和确定性
Jeremy A Grajeda1, Laura E Boucheron1, Michael S Kirk2
1Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM USA.
概括
这项研究引入了一种新的方法,用于检测冠状孔 (CHs) 使用一个无边形活跃轮 (ACWE) 组合. 该技术通过从极端紫外线图像创建信心地图来提供可靠的太阳风预测.
科学领域:
- 太阳物理 太阳物理
- 太空天气 太空天气
- 图像细分 图像细分
背景情况:
- 冠状孔 (CHs) 对于了解高速太阳风和太空天气至关重要.
- 准确的CH检测对于太空天气预报至关重要.
- 现有的方法可能会因观察因素导致强度的变化而扎.
研究的目的:
- 开发一种用于强大的冠状孔检测的内部方法组合.
- 创建一个信任地图,显示一个地区可能成为一个CH.
- 为了提高太阳能EUV图像中CH细分的一致性和可靠性.
主要方法:
- 使用了无边 Active Contours Without Edges (ACWE) 的细分算法. 使用了无边 Active Contours Without Edges (ACWE) 的细分算法.
- 开发了一种集体方法,重点关注区域的同质性和接近CH核心.
- 使用全球一致性错误 (GCE),本地一致性错误 (LCE),跨欧盟交叉 (IOU) 和结构相似性指数衡量 (SSIM) 等指标进行评估.
主要成果:
- 该方法证明了对不同空间分辨率的稳定性,保持了中位数IOU和最小的SSIM,即使使用了被摧毁的图像.
- 细分在短时间尺度 (1小时节奏) 中保持一致,平均 IOU 为 0.826.
- 这种方法即使没有暴露时间纠正,也被证明是可靠的,随着时间的推移,相似性呈现平稳的衰退.
结论:
- 拟议的内部方法组合为冠状孔检测提供了一种强大而一致的方法.
- 信心地图方法提高了CH细分的可靠性,独立于强度变化.
- 这种技术对于改进太空天气预测模型非常有价值.
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