How deep learning extracts and learns leaf features for plant classification
作者：
Highlights：
• A deep learning approach to quantify discriminatory leaf is proposed.
• Shape is not a dominant feature for leaf but rather the different orders of venation.
• Deep learning reveals transformation of leaf features from general to specific types.
• Findings archived fit with the hierarchical botanical definitions of leaf characters.
• Features learned using deep learning can improve plant recognition performance.
摘要
•A deep learning approach to quantify discriminatory leaf is proposed.•Shape is not a dominant feature for leaf but rather the different orders of venation.•Deep learning reveals transformation of leaf features from general to specific types.•Findings archived fit with the hierarchical botanical definitions of leaf characters.•Features learned using deep learning can improve plant recognition performance.
论文关键词：Plant recognition,Deep learning,Feature visualisation
论文评审过程：Received 11 November 2016, Revised 23 April 2017, Accepted 13 May 2017, Available online 18 May 2017, Version of Record 23 May 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.05.015
