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Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification
Research article (International Journal of Applied Earth Observation and Geoinformation, 2022) · cited 32× · AI/ML
Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification
Summary
Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification is a scholarly article[1].
Key Facts
Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class 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). Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-pine-wilt-disease-at-the-pixel-level-from-high-spatial-and-spectral-resolution-uav-borne-imagery-in-complex-fo
MLA“Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-pine-wilt-disease-at-the-pixel-level-from-high-spatial-and-spectral-resolution-uav-borne-imagery-in-complex-fo.
BibTeX@misc{4ortxyz_detecting-pine-wilt-disease-at-the-pixel-level-from-high-spatial-and-spectral-resolution-uav-borne-imagery-in-complex-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-pine-wilt-disease-at-the-pixel-level-from-high-spatial-and-spectral-resolution-uav-borne-imagery-in-complex-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification — https://4ort.xyz/entity/detecting-pine-wilt-disease-at-the-pixel-level-from-high-spatial-and-spectral-resolution-uav-borne-imagery-in-complex-fo (retrieved 2026-05-24)
