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Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery
Research article (IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019) · cited 55× · AI/ML
Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery
Summary
Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery is a scholarly article[1].
Key Facts
Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery's instance of is recorded as scholarly article[2].
References
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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). Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-unet-fully-convolutional-neural-network-to-impervious-surface-segmentation-in-urban-environment-from-high
MLA“Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-unet-fully-convolutional-neural-network-to-impervious-surface-segmentation-in-urban-environment-from-high.
BibTeX@misc{4ortxyz_application-of-unet-fully-convolutional-neural-network-to-impervious-surface-segmentation-in-urban-environment-from-high_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-unet-fully-convolutional-neural-network-to-impervious-surface-segmentation-in-urban-environment-from-high}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery — https://4ort.xyz/entity/application-of-unet-fully-convolutional-neural-network-to-impervious-surface-segmentation-in-urban-environment-from-high (retrieved 2026-05-24)
