Fine-Grained Abandoned Cropland Mapping in Southern China Using Pixel Attention Contrastive Learning

Fine-Grained Abandoned Cropland Mapping in Southern China Using Pixel Attention Contrastive Learning

Cropland abandonment has multifaceted and controversial impacts on the natural environment and socioeconomic development. Utilizing remote sensing data offers the potential for comprehensive coverage and large-scale insights into automated abandoned cropland identification. However, accurately captu...

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Bibliographic Details
Main Authors: Haoyang Li, Haomei Lin, Junshen Luo, Teng Wang, Hao Chen, Qiuting Xu, Xinchang Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Abandoned cropland
contrastive learning
deep learning (DL)
very high resolution (VHR)
Online Access:https://ieeexplore.ieee.org/document/10336895/

Internet

https://ieeexplore.ieee.org/document/10336895/

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