Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications

Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications

An enhancement generator model with a progressive Wasserstein generative adversarial network and gradient penalized (PWGAN-GP) is proposed to solve the problem of low recognition accuracy caused by the lack of rice disease image samples in training CNNs. First, the generator model uses the progressi...

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Bibliographic Details
Main Authors: Yang Lu, Xianpeng Tao, Nianyin Zeng, Jiaojiao Du, Rou Shang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
image data augmentation
small sample
progressive WGAN-GP
rice disease
CNN
Online Access:https://www.mdpi.com/2072-4292/15/7/1789

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https://www.mdpi.com/2072-4292/15/7/1789

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