Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data
Summary
Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data is a scholarly article[1].
Key Facts
Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-extraction-of-urban-impervious-surfaces-based-on-deep-learning-and-multi-source-remote-sensing-data
MLA“Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-extraction-of-urban-impervious-surfaces-based-on-deep-learning-and-multi-source-remote-sensing-data.
BibTeX@misc{4ortxyz_automatic-extraction-of-urban-impervious-surfaces-based-on-deep-learning-and-multi-source-remote-sensing-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-extraction-of-urban-impervious-surfaces-based-on-deep-learning-and-multi-source-remote-sensing-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data — https://4ort.xyz/entity/automatic-extraction-of-urban-impervious-surfaces-based-on-deep-learning-and-multi-source-remote-sensing-data (retrieved 2026-05-24)
