Cargando…
Coffee Flower Identification Using Binarization Algorithm Based on Convolutional Neural Network for Digital Images
Crop-type identification is one of the most significant applications of agricultural remote sensing, and it is important for yield estimation prediction and field management. At present, crop identification using datasets from unmanned aerial vehicle (UAV) and satellite platforms have achieved state...
Autores principales: | Wei, Pengliang, Jiang, Ting, Peng, Huaiyue, Jin, Hongwei, Sun, Han, Chai, Dengfeng, Huang, Jingfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706348/ https://www.ncbi.nlm.nih.gov/pubmed/33313561 http://dx.doi.org/10.34133/2020/6323965 |
Ejemplares similares
-
Binarization Algorithm Based on Side Window Multidimensional Convolution Classification
por: Ren, Hong, et al.
Publicado: (2022) -
Synaptic metaplasticity in binarized neural networks
por: Laborieux, Axel, et al.
Publicado: (2021) -
PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution
por: Shin, Jungwoo, et al.
Publicado: (2022) -
A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks
por: Kim, HyunJin, et al.
Publicado: (2022) -
A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network
por: Wang, Zhen, et al.
Publicado: (2018)