A Data Augmentation Strategy Combining a Modified pix2pix Model and the Copy-Paste Operator for Solid Waste Detection With Remote Sensing Images

A Data Augmentation Strategy Combining a Modified pix2pix Model and the Copy-Paste Operator for Solid Waste Detection With Remote Sensing Images

Solid waste detection is of great significance for environmental protection. In recent years, object detection methods based on deep learning have progressed rapidly. However, it is often extremely difficult to collect sufficient data to train a model with a good performance. In this article, a data...

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Bibliographic Details
Main Authors: Xiong Xu, Beibei Zhao, Xiaohua Tong, Huan Xie, Yongjiu Feng, Chao Wang, Changjiang Xiao, Xiaoxue Ke, Jinhuan Du
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Copy-paste
data augmentation
local-global discriminator (LGD)
object detection
pix2pix
Online Access:https://ieeexplore.ieee.org/document/9904838/

Internet

https://ieeexplore.ieee.org/document/9904838/

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