Robust Land Cover Classification With Local–Global Information Decoupling to Address Remote Sensing Anomalous Data

Robust Land Cover Classification With Local–Global Information Decoupling to Address Remote Sensing Anomalous Data

Remote sensing images play a critical role in urban planning, land resources, and environmental monitoring. Land cover classification is one of the straightforward applications of remote sensing. However, the anomalous remote sensing data challenges the reliability of land cover classification resul...

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Bibliographic Details
Main Authors: Jianbo Xiao, Taotao Cheng, Deliang Chen, Hui Chen, Ning Li, Yanyan Lu, Liang Cheng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
land cover classification
remote sensing anomalous data
remote sensing imagery
Online Access:https://ieeexplore.ieee.org/document/10417110/

Internet

https://ieeexplore.ieee.org/document/10417110/

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