Automatic generation of adaptive structuring elements for road identification in VHR images
作者：
Highlights：
• Standard structuring elements (SEs) are not able to extract roads efficiently.
• Adaptive structuring elements are capable of extracting most of the roads.
• Particle swarm optimization algorithm is used to look for most appropriate structuring elements.
• Each image has its best structuring element which is found by an adaptive algorithm.
摘要
•Standard structuring elements (SEs) are not able to extract roads efficiently.•Adaptive structuring elements are capable of extracting most of the roads.•Particle swarm optimization algorithm is used to look for most appropriate structuring elements.•Each image has its best structuring element which is found by an adaptive algorithm.
论文关键词：Adaptive arbitrary structuring elements,Mathematical morphology (MM),Particle swarm optimization (PSO),Roads,Support vector machines (SVM)
论文评审过程：Received 6 April 2018, Revised 27 August 2018, Accepted 29 October 2018, Available online 29 October 2018, Version of Record 9 November 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.049
