Codivide: Multigranularity Consistency Learning for Remote Sensing Image Retrieval Under Severe Noisy Labels

Cross-domain content-based remote sensing image retrieval under noisy environments represents a promising yet challenging research direction, focusing on knowledge transfer from noise-corrupted source domain to unlabeled target domain. However, existing domain adaptation methods often overlook the c...

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Bibliographic Details

Main Authors:	Yeyun Wu, Xiaolin Gao, Junsheng Wang, Tiantian Gong
Format:	Artigo
Language:	Inglês
Published:	IEEE 2026-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Collaborative divide multigranularity consistency learning noisy labels remote sensing image (RSI) retrieval
Online Access:	https://ieeexplore.ieee.org/document/11481660/
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