Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
作者：
Highlights：
• Creation of a new coral structure dataset.
• Study the performance of promising CNNs in the classification of coral images.
• Analyse data augmentation on the performance of the coral classification models.
• Evaluate image enhancement techniques on the performance of the models.
• Creation of a two-level model able to classify any coral image, texture or structure.
摘要
•Creation of a new coral structure dataset.•Study the performance of promising CNNs in the classification of coral images.•Analyse data augmentation on the performance of the coral classification models.•Evaluate image enhancement techniques on the performance of the models.•Creation of a two-level model able to classify any coral image, texture or structure.
论文关键词：Coral images classification,Structure coral images,Deep learning,Convolutional Neural Networks,Inception,ResNet,DenseNet
论文评审过程：Received 28 January 2019, Revised 2 July 2019, Accepted 27 July 2019, Available online 29 July 2019, Version of Record 11 October 2019.
论文官网地址：https://doi.org/10.1016/j.knosys.2019.104891
