Recognition of building group patterns in topographic maps based on graph partitioning and random forest

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2017) · cited 70× · AI/ML
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Recognition of building group patterns in topographic maps based on graph partitioning and random forest

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Recognition of building group patterns in topographic maps based on graph partitioning and random forest is a scholarly article[1].

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  • Recognition of building group patterns in topographic maps based on graph partitioning and random forest's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Recognition of building group patterns in topographic maps based on graph partitioning and random forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/recognition-of-building-group-patterns-in-topographic-maps-based-on-graph-partitioning-and-random-forest
MLA “Recognition of building group patterns in topographic maps based on graph partitioning and random forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recognition-of-building-group-patterns-in-topographic-maps-based-on-graph-partitioning-and-random-forest.
BibTeX @misc{4ortxyz_recognition-of-building-group-patterns-in-topographic-maps-based-on-graph-partitioning-and-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recognition of building group patterns in topographic maps based on graph partitioning and random forest}}, year = {2026}, url = {https://4ort.xyz/entity/recognition-of-building-group-patterns-in-topographic-maps-based-on-graph-partitioning-and-random-forest}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recognition of building group patterns in topographic maps based on graph partitioning and random forest — https://4ort.xyz/entity/recognition-of-building-group-patterns-in-topographic-maps-based-on-graph-partitioning-and-random-forest (retrieved 2026-05-24)

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