Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

Research article (Remote Sensing, 2018) · cited 202× · AI/ML

CreativeWork academia openalex:W2790741584

Press Enter · cited answer in seconds

Summary

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks is a scholarly article^[1].

Key Facts

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks's instance of is recorded as scholarly article^[2].

📜 Data licence

Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex

⭐ Popularity Graph

0/100 long tail

Quick Facts

Instance of scholarly article

Publication date March 6, 2018

Properties

Published in Remote Sensing

Title lang: en, text: Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

External References (2)

Doi 10.3390/RS10030407

Openalex id W2790741584

🔗 Connections

Authored by 6

Guangming Wu, Ryosuke Shibasaki, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Zhiling Guo

← Author of 6

Guangming Wu, Ryosuke Shibasaki, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Zhiling Guo

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

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.

APA

4ort.xyz Knowledge Graph. (2026). Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks. Retrieved October 18, 2026, from https://4ort.xyz/entity/automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks

MLA

“Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks.

BibTeX

@misc{4ortxyz_automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks}, note = {Accessed: 2026-10-18}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks — https://4ort.xyz/entity/automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks (retrieved 2026-10-18)

Canonical URL: https://4ort.xyz/entity/automatic-building-segmentation-of-aerial-imagery-using-multi-constraint-fully-convolutional-networks · Last refreshed: October 18, 2026