Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN
Summary
Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN is a scholarly article[1].
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Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-deep-hierarchical-spatialspectral-features-for-hyperspectral-image-classification-based-on-residual-3d-2d-cnn
MLA“Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-deep-hierarchical-spatialspectral-features-for-hyperspectral-image-classification-based-on-residual-3d-2d-cnn.
BibTeX@misc{4ortxyz_learning-deep-hierarchical-spatialspectral-features-for-hyperspectral-image-classification-based-on-residual-3d-2d-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN}}, year = {2026}, url = {https://4ort.xyz/entity/learning-deep-hierarchical-spatialspectral-features-for-hyperspectral-image-classification-based-on-residual-3d-2d-cnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN — https://4ort.xyz/entity/learning-deep-hierarchical-spatialspectral-features-for-hyperspectral-image-classification-based-on-residual-3d-2d-cnn (retrieved 2026-05-24)
