A new transferable deep learning approach for crop mapping

A new transferable deep learning approach for crop mapping

Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of remote sensing-based crop mapping. In this study, we developed a new deep learning approach, DSH, whic...

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Bibliographic Details
Main Authors: Hongyan Che, Yaozhong Pan, Xingsheng Xia, Xiufang Zhu, Le Li, Yongsheng Huang, Xuechang Zheng, Lingang Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
Subjects:
Sentinel-2 synthesized imagery
deep learning
channel self-attention
histogram matching
spatiotemporal transferability
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2024.2395700

Internet

https://www.tandfonline.com/doi/10.1080/15481603.2024.2395700

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