Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images

Research article (IEEE Transactions on Geoscience and Remote Sensing, 2020) · cited 110× · AI/ML
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Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images

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Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-network-based-full-space-domain-adaptation-for-land-cover-classification-from-multiple-source-rem
MLA “Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-network-based-full-space-domain-adaptation-for-land-cover-classification-from-multiple-source-rem.
BibTeX @misc{4ortxyz_generative-adversarial-network-based-full-space-domain-adaptation-for-land-cover-classification-from-multiple-source-rem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-network-based-full-space-domain-adaptation-for-land-cover-classification-from-multiple-source-rem}, note = {Accessed: 2026-05-24}}
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