Detection of roadside vegetation using Fully Convolutional Networks

作者：

Highlights：

• Results show the best overall per-pixel accuracy compared to other methods.

• Increase in the True Negative Rate for objects similar in features to vegetation

• Different types of vegetation are accurately detected regardless of illumination.

• Efficient detection of vegetation near and far away from the camera 1

摘要

•Results show the best overall per-pixel accuracy compared to other methods.•Increase in the True Negative Rate for objects similar in features to vegetation•Different types of vegetation are accurately detected regardless of illumination.•Efficient detection of vegetation near and far away from the camera 1

论文关键词：Image analysis,Vegetation detection,Roadside maintenance,Deep learning,Convolutional neural networks

论文评审过程：Received 10 June 2017, Revised 17 February 2018, Accepted 27 March 2018, Available online 9 April 2018, Version of Record 22 April 2018.

论文官网地址：https://doi.org/10.1016/j.imavis.2018.03.008