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Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map
Research article (International Journal of Remote Sensing, 2020) · cited 29× · AI/ML
Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map
Summary
Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map is a scholarly article[1].
Key Facts
Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map. Retrieved May 24, 2026, from https://4ort.xyz/entity/building-extraction-from-vhr-remote-sensing-imagery-by-combining-an-improved-deep-convolutional-encoder-decoder-architec
MLA“Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/building-extraction-from-vhr-remote-sensing-imagery-by-combining-an-improved-deep-convolutional-encoder-decoder-architec.
BibTeX@misc{4ortxyz_building-extraction-from-vhr-remote-sensing-imagery-by-combining-an-improved-deep-convolutional-encoder-decoder-architec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map}}, year = {2026}, url = {https://4ort.xyz/entity/building-extraction-from-vhr-remote-sensing-imagery-by-combining-an-improved-deep-convolutional-encoder-decoder-architec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map — https://4ort.xyz/entity/building-extraction-from-vhr-remote-sensing-imagery-by-combining-an-improved-deep-convolutional-encoder-decoder-architec (retrieved 2026-05-24)
