Sparse analysis for mesoscale convective systems tracking

作者：

Highlights：

• We introduce a sparsity-based method for tracking mesoscale convective systems (MCS) in infrared satellite images.

• The presented method explicitly manages birth, death, splitting and merging events.

• Numerical results show the adequation with respect to two other state-of-the-art methods.

• Our method provides additional flexibility with respect to the life cycle of MCS interpretation.

摘要

•We introduce a sparsity-based method for tracking mesoscale convective systems (MCS) in infrared satellite images.•The presented method explicitly manages birth, death, splitting and merging events.•Numerical results show the adequation with respect to two other state-of-the-art methods.•Our method provides additional flexibility with respect to the life cycle of MCS interpretation.

论文关键词：Remote sensing image processing,Shape tracking,Gridless sparse analysis

论文评审过程：Received 4 July 2019, Revised 18 February 2020, Accepted 10 April 2020, Available online 16 April 2020, Version of Record 21 April 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115854