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). Building extraction from remote sensing images using deep residual U-Net. Retrieved May 24, 2026, from https://4ort.xyz/entity/building-extraction-from-remote-sensing-images-using-deep-residual-u-net
MLA“Building extraction from remote sensing images using deep residual U-Net.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/building-extraction-from-remote-sensing-images-using-deep-residual-u-net.
BibTeX@misc{4ortxyz_building-extraction-from-remote-sensing-images-using-deep-residual-u-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Building extraction from remote sensing images using deep residual U-Net}}, year = {2026}, url = {https://4ort.xyz/entity/building-extraction-from-remote-sensing-images-using-deep-residual-u-net}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Building extraction from remote sensing images using deep residual U-Net — https://4ort.xyz/entity/building-extraction-from-remote-sensing-images-using-deep-residual-u-net (retrieved 2026-05-24)
