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Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification

Huang, Wei, Shi, Yilei, Xiong, Zhitong, Wang, Qi, Zhu, Xiao Xiang·2023·ISPRS Journal of Photogrammetry and Remote Sensing
DOI 10.1016/j.isprsjprs.2022.11.013PMC PMC9880870
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  • Even if a practicable deep model is already trained on a well-annotated dataset, it may not be valid for other geographical areas or sensors because of feature distribution shifts between source and target domains.

    “Even if a practicable deep model is already trained on a well-annotated dataset, it may not be valid for other geographical areas or sensors because of the feature distribution shifts between the source and target domains (Tuia et al., 2016, Tong et al., 2020, Huang et al., 2023).”

    From Enabling country-scale land cover mapping with meter-resolution satellite imagery (2023) · cites this paper as Huang et al., 2023

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Research works printed but not linked: 40

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Metadata

Authors
Huang, W., Shi, Y., Xiong, Z., Wang, Q., & Zhu, X. X.
ORCID
Venue
ISPRS Journal of Photogrammetry and Remote Sensing
Publisher
Elsevier BV
Published
2023-01
Volume
195
Pages
192-203
ISSN
0924-2716
DOI
10.1016/j.isprsjprs.2022.11.013
PMC
PMC9880870
Cited by
76
References
3
Language
en
Licence

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