Home ›
Entities
› academia
› 3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data
3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data
Research article (Measurement, 2023) · cited 12× · AI/ML
3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data
Summary
3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data is a scholarly article[1].
Key Facts
3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning 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). 3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data. Retrieved May 24, 2026, from https://4ort.xyz/entity/3d-mfdnn-three-dimensional-multi-feature-descriptors-combined-deep-neural-network-for-vegetation-segmentation-from-airbo
MLA“3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3d-mfdnn-three-dimensional-multi-feature-descriptors-combined-deep-neural-network-for-vegetation-segmentation-from-airbo.
BibTeX@misc{4ortxyz_3d-mfdnn-three-dimensional-multi-feature-descriptors-combined-deep-neural-network-for-vegetation-segmentation-from-airbo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data}}, year = {2026}, url = {https://4ort.xyz/entity/3d-mfdnn-three-dimensional-multi-feature-descriptors-combined-deep-neural-network-for-vegetation-segmentation-from-airbo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 3D-MFDNN: Three-dimensional multi-feature descriptors combined deep neural network for vegetation segmentation from airborne laser scanning data — https://4ort.xyz/entity/3d-mfdnn-three-dimensional-multi-feature-descriptors-combined-deep-neural-network-for-vegetation-segmentation-from-airbo (retrieved 2026-05-24)
