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3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020) · cited 73× · AI/ML
3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification
Summary
3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification is a scholarly article[1].
Key Facts
3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/3-d-channel-and-spatial-attention-based-multiscale-spatialspectral-residual-network-for-hyperspectral-image-classificati
MLA“3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3-d-channel-and-spatial-attention-based-multiscale-spatialspectral-residual-network-for-hyperspectral-image-classificati.
BibTeX@misc{4ortxyz_3-d-channel-and-spatial-attention-based-multiscale-spatialspectral-residual-network-for-hyperspectral-image-classificati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification}}, year = {2026}, url = {https://4ort.xyz/entity/3-d-channel-and-spatial-attention-based-multiscale-spatialspectral-residual-network-for-hyperspectral-image-classificati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification — https://4ort.xyz/entity/3-d-channel-and-spatial-attention-based-multiscale-spatialspectral-residual-network-for-hyperspectral-image-classificati (retrieved 2026-05-24)