Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network

We present a pipeline for the visual localization and classification of agricultural pest insects by computing a saliency map and applying deep convolutional neural network (DCNN) learning. First, we used a global contrast region-based approach to compute a saliency map for localizing pest insect ob...

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Detalles Bibliográficos
Autores principales: Liu, Ziyi, Gao, Junfeng, Yang, Guoguo, Zhang, Huan, He, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750055/
https://www.ncbi.nlm.nih.gov/pubmed/26864172
http://dx.doi.org/10.1038/srep20410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750055/
https://www.ncbi.nlm.nih.gov/pubmed/26864172
http://dx.doi.org/10.1038/srep20410

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