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Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows
Research article (Remote Sensing, 2022) · cited 15× · AI/ML
Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows
Summary
Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows is a scholarly article[1].
Key Facts
Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows'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). Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-object-oriented-and-deep-learning-methods-to-estimate-photosynthetic-and-non-photosynthetic-vegetation-cover-i
MLA“Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-object-oriented-and-deep-learning-methods-to-estimate-photosynthetic-and-non-photosynthetic-vegetation-cover-i.
BibTeX@misc{4ortxyz_combining-object-oriented-and-deep-learning-methods-to-estimate-photosynthetic-and-non-photosynthetic-vegetation-cover-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows}}, year = {2026}, url = {https://4ort.xyz/entity/combining-object-oriented-and-deep-learning-methods-to-estimate-photosynthetic-and-non-photosynthetic-vegetation-cover-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows — https://4ort.xyz/entity/combining-object-oriented-and-deep-learning-methods-to-estimate-photosynthetic-and-non-photosynthetic-vegetation-cover-i (retrieved 2026-05-24)
