Home ›
Entities
› academia
› Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images
Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018) · cited 155× · AI/ML
Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images
Summary
Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images is a scholarly article[1].
Key Facts
Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/symmetrical-dense-shortcut-deep-fully-convolutional-networks-for-semantic-segmentation-of-very-high-resolution-remote-se
MLA“Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/symmetrical-dense-shortcut-deep-fully-convolutional-networks-for-semantic-segmentation-of-very-high-resolution-remote-se.
BibTeX@misc{4ortxyz_symmetrical-dense-shortcut-deep-fully-convolutional-networks-for-semantic-segmentation-of-very-high-resolution-remote-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/symmetrical-dense-shortcut-deep-fully-convolutional-networks-for-semantic-segmentation-of-very-high-resolution-remote-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images — https://4ort.xyz/entity/symmetrical-dense-shortcut-deep-fully-convolutional-networks-for-semantic-segmentation-of-very-high-resolution-remote-se (retrieved 2026-05-24)