Home ›
Entities
› academia
› Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images
Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images
Research article (Landscape and Urban Planning, 2022) · cited 58× · AI/ML
Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images
Summary
Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images is a scholarly article[1].
Key Facts
Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-scale-automatic-identification-of-urban-vacant-land-using-semantic-segmentation-of-high-resolution-remote-sensing-
MLA“Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-scale-automatic-identification-of-urban-vacant-land-using-semantic-segmentation-of-high-resolution-remote-sensing-.
BibTeX@misc{4ortxyz_large-scale-automatic-identification-of-urban-vacant-land-using-semantic-segmentation-of-high-resolution-remote-sensing-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images}}, year = {2026}, url = {https://4ort.xyz/entity/large-scale-automatic-identification-of-urban-vacant-land-using-semantic-segmentation-of-high-resolution-remote-sensing-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images — https://4ort.xyz/entity/large-scale-automatic-identification-of-urban-vacant-land-using-semantic-segmentation-of-high-resolution-remote-sensing- (retrieved 2026-05-24)
