Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs
Summary
Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs is a scholarly article[1].
Key Facts
Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapping-impervious-surfaces-in-townrural-transition-belts-using-chinas-gf-2-imagery-and-object-based-deep-cnns
MLA“Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapping-impervious-surfaces-in-townrural-transition-belts-using-chinas-gf-2-imagery-and-object-based-deep-cnns.
BibTeX@misc{4ortxyz_mapping-impervious-surfaces-in-townrural-transition-belts-using-chinas-gf-2-imagery-and-object-based-deep-cnns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs}}, year = {2026}, url = {https://4ort.xyz/entity/mapping-impervious-surfaces-in-townrural-transition-belts-using-chinas-gf-2-imagery-and-object-based-deep-cnns}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs — https://4ort.xyz/entity/mapping-impervious-surfaces-in-townrural-transition-belts-using-chinas-gf-2-imagery-and-object-based-deep-cnns (retrieved 2026-05-24)