Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization

Unsupervised domain adaptation (UDA) methods have become a research hotspot in remote sensing scene classification to reduce dependence on labeled samples. However, most current methods focus on extracting domain invariant features, ignoring the problem of large intraclass differences and the imbala...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Ruitong Du, Guoqing Wang, Ning Zhang, Liang Chen, Wenchao Liu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Middle-layer feature extraction (MFE) nuclear norm maximization (NM) remote sensing scene classification unsupervised domain adaptation (UDA)
Online Access:	https://ieeexplore.ieee.org/document/10343117/