Home ›
Entities
› academia
› Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images
Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images
Research article (IEEE Geoscience and Remote Sensing Letters, 2024) · cited 18× · AI/ML
Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images
Summary
Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images is a scholarly article[1].
Key Facts
Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical 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). Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/road-sam-adapting-the-segment-anything-model-to-road-extraction-from-large-very-high-resolution-optical-remote-sensing-i
MLA“Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/road-sam-adapting-the-segment-anything-model-to-road-extraction-from-large-very-high-resolution-optical-remote-sensing-i.
BibTeX@misc{4ortxyz_road-sam-adapting-the-segment-anything-model-to-road-extraction-from-large-very-high-resolution-optical-remote-sensing-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/road-sam-adapting-the-segment-anything-model-to-road-extraction-from-large-very-high-resolution-optical-remote-sensing-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images — https://4ort.xyz/entity/road-sam-adapting-the-segment-anything-model-to-road-extraction-from-large-very-high-resolution-optical-remote-sensing-i (retrieved 2026-05-24)
