Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering
作者：
Highlights：
• An accurate first-arrival picking algorithm with four techniques is designed.
• The threshold determination technique obtains a stable range in a bottom-up manner.
• The fuzzy c-means clustering with spatial constraints obtains clusters within this range.
• The adaptive cluster-selecting technique obtains the final first-arrivals.
• Comparison with state-of-the-art algorithms shows the superiority of ours.
摘要
•An accurate first-arrival picking algorithm with four techniques is designed.•The threshold determination technique obtains a stable range in a bottom-up manner.•The fuzzy c-means clustering with spatial constraints obtains clusters within this range.•The adaptive cluster-selecting technique obtains the final first-arrivals.•Comparison with state-of-the-art algorithms shows the superiority of ours.
论文关键词：First-arrival picking,Mean filtering,Fuzzy c-means clustering with spatial constraints,Threshold determination,Adaptive cluster-selecting
论文评审过程：Received 9 September 2019, Revised 31 March 2021, Accepted 13 May 2021, Available online 31 May 2021, Version of Record 3 June 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115216
