Home ›
Entities
› academia
› HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data
HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024) · cited 86× · AI/ML
HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data
Summary
HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data is a scholarly article[1].
Key Facts
HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/hypslidnet-3-d2-d-cnn-model-and-spatialspectral-morphological-attention-for-crop-classification-with-desis-and-lidar-dat
MLA“HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hypslidnet-3-d2-d-cnn-model-and-spatialspectral-morphological-attention-for-crop-classification-with-desis-and-lidar-dat.
BibTeX@misc{4ortxyz_hypslidnet-3-d2-d-cnn-model-and-spatialspectral-morphological-attention-for-crop-classification-with-desis-and-lidar-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data}}, year = {2026}, url = {https://4ort.xyz/entity/hypslidnet-3-d2-d-cnn-model-and-spatialspectral-morphological-attention-for-crop-classification-with-desis-and-lidar-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data — https://4ort.xyz/entity/hypslidnet-3-d2-d-cnn-model-and-spatialspectral-morphological-attention-for-crop-classification-with-desis-and-lidar-dat (retrieved 2026-05-24)
