Home › Entities › academia › AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES

AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES

Research article (˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, 2020) · cited 16× · AI/ML
academia openalex:W3005101464
Press Enter · cited answer in seconds

AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES

Summary

AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES is a scholarly article[1].

Key Facts

  • AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL 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.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . 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). AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES. Retrieved May 24, 2026, from https://4ort.xyz/entity/airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images
MLA “AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images.
BibTeX @misc{4ortxyz_airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES}}, year = {2026}, url = {https://4ort.xyz/entity/airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AIRPORT RUNWAY SEMANTIC SEGMENTATION BASED ON DCNN IN HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES — https://4ort.xyz/entity/airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/airport-runway-semantic-segmentation-based-on-dcnn-in-high-spatial-resolution-remote-sensing-images · Last refreshed: