CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning

作者：

Highlights：

• We presented a novel framework for structural corrosion detection in drone images.

• We developed an ensemble deep learning approach to recognise corrosion.

• We conducted a comprehensive evaluation using real-world industrial datasets.

• We demonstrated the efficacy by comparing with current state-of-the-art models.

摘要

•We presented a novel framework for structural corrosion detection in drone images.•We developed an ensemble deep learning approach to recognise corrosion.•We conducted a comprehensive evaluation using real-world industrial datasets.•We demonstrated the efficacy by comparing with current state-of-the-art models.

论文关键词：Corrosion detection,Object detection,Deep learning,Drone images,Industrial structure,Ensemble model,CNN

论文评审过程：Received 6 February 2021, Revised 20 December 2021, Accepted 23 December 2021, Available online 10 January 2022, Version of Record 14 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116461