Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation

Research article (Information Fusion, 2023) · cited 22× · AI/ML
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Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation

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Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation. Retrieved May 24, 2026, from https://4ort.xyz/entity/zero-sharpen-a-universal-pansharpening-method-across-satellites-for-reducing-scale-variance-gap-via-zero-shot-variation
MLA “Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/zero-sharpen-a-universal-pansharpening-method-across-satellites-for-reducing-scale-variance-gap-via-zero-shot-variation.
BibTeX @misc{4ortxyz_zero-sharpen-a-universal-pansharpening-method-across-satellites-for-reducing-scale-variance-gap-via-zero-shot-variation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation}}, year = {2026}, url = {https://4ort.xyz/entity/zero-sharpen-a-universal-pansharpening-method-across-satellites-for-reducing-scale-variance-gap-via-zero-shot-variation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation — https://4ort.xyz/entity/zero-sharpen-a-universal-pansharpening-method-across-satellites-for-reducing-scale-variance-gap-via-zero-shot-variation (retrieved 2026-05-24)

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