Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks
Summary
Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks is a scholarly article[1].
Key Facts
Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-extraction-of-road-intersection-points-from-usgs-historical-map-series-using-deep-convolutional-neural-network
MLA“Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-extraction-of-road-intersection-points-from-usgs-historical-map-series-using-deep-convolutional-neural-network.
BibTeX@misc{4ortxyz_automatic-extraction-of-road-intersection-points-from-usgs-historical-map-series-using-deep-convolutional-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-extraction-of-road-intersection-points-from-usgs-historical-map-series-using-deep-convolutional-neural-network}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks — https://4ort.xyz/entity/automatic-extraction-of-road-intersection-points-from-usgs-historical-map-series-using-deep-convolutional-neural-network (retrieved 2026-05-24)