Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications
作者：
Highlights：
• A new era of aerospace systems has instigated highly coupled frameworks.
• It leading to a significant rise in design complexity.
• Spatio Temporal-based Kinematic Adaptive Sampling (ST-KAS) is Proposed.
• It presents the new design process to reduce the complexity and improve accuracy.
• Algorithm is designed through a dynamic model and a Probability Uncertainty Measure.
摘要
•A new era of aerospace systems has instigated highly coupled frameworks.•It leading to a significant rise in design complexity.•Spatio Temporal-based Kinematic Adaptive Sampling (ST-KAS) is Proposed.•It presents the new design process to reduce the complexity and improve accuracy.•Algorithm is designed through a dynamic model and a Probability Uncertainty Measure.
论文关键词：Spatio temporal,Kinematic,Adaptive sampling,Time factor matrix,Spatial association matrix,Probability uncertainty measure
论文评审过程：Received 3 September 2020, Revised 24 March 2021, Accepted 22 June 2021, Available online 27 June 2021, Version of Record 9 July 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115472
