High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels

High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels

High-resolution land cover mapping (LCM) is pivotal in numerous disciplines but still challenging to be acquired because traditional supervised methods require a substantial number of high-resolution labels that is labouring and expensive. To this issue, abundantly available low-resolution land-cove...

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Bibliographic Details
Main Authors: Xiaoman Qi, Junhuan Peng, Yuebin Wang, Xiaotong Qi, Yun Peng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention module
deep learning (DL)
land cover mapping (LCM)
noisy label
weakly supervised learning
Online Access:https://ieeexplore.ieee.org/document/10360200/

Internet

https://ieeexplore.ieee.org/document/10360200/

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