Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping

Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping

This paper investigates the potential of cloud-free virtual optical imagery generated using synthetic-aperture radar (SAR) images and conditional generative adversarial networks (CGANs) for early crop mapping, which requires cloud-free optical imagery at the optimal date for classification. A two-st...

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Bibliographic Details
Main Authors: No-Wook Park, Min-Gyu Park, Geun-Ho Kwak, Sungwook Hong
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
crop classification
virtual image
deep learning
generative adversarial networks
Online Access:https://www.mdpi.com/2076-3417/13/3/1766

Internet

https://www.mdpi.com/2076-3417/13/3/1766

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