Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery

Research article (Remote Sensing, 2023) · cited 29× · AI/ML
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Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery

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Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery is a scholarly article[1].

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  • Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrated-1d-2d-and-3d-cnns-enable-robust-and-efficient-land-cover-classification-from-hyperspectral-imagery
MLA “Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrated-1d-2d-and-3d-cnns-enable-robust-and-efficient-land-cover-classification-from-hyperspectral-imagery.
BibTeX @misc{4ortxyz_integrated-1d-2d-and-3d-cnns-enable-robust-and-efficient-land-cover-classification-from-hyperspectral-imagery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/integrated-1d-2d-and-3d-cnns-enable-robust-and-efficient-land-cover-classification-from-hyperspectral-imagery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery — https://4ort.xyz/entity/integrated-1d-2d-and-3d-cnns-enable-robust-and-efficient-land-cover-classification-from-hyperspectral-imagery (retrieved 2026-05-24)

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