Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2018) · cited 31× · AI/ML
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Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach

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Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach is a scholarly article[1].

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  • Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-individual-trees-in-urban-alignment-from-airborne-data-and-contextual-information-a-marked-point-process-ap
MLA “Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-individual-trees-in-urban-alignment-from-airborne-data-and-contextual-information-a-marked-point-process-ap.
BibTeX @misc{4ortxyz_detection-of-individual-trees-in-urban-alignment-from-airborne-data-and-contextual-information-a-marked-point-process-ap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-individual-trees-in-urban-alignment-from-airborne-data-and-contextual-information-a-marked-point-process-ap}, note = {Accessed: 2026-05-24}}
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