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Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2025) · cited 23× · AI/ML
Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications
Summary
Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications is a scholarly article[1].
Key Facts
Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-semantic-segmentation-of-very-high-resolution-remote-sensing-images-considering-feature-state-sequences-from-be
MLA“Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-semantic-segmentation-of-very-high-resolution-remote-sensing-images-considering-feature-state-sequences-from-be.
BibTeX@misc{4ortxyz_accurate-semantic-segmentation-of-very-high-resolution-remote-sensing-images-considering-feature-state-sequences-from-be_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-semantic-segmentation-of-very-high-resolution-remote-sensing-images-considering-feature-state-sequences-from-be}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications — https://4ort.xyz/entity/accurate-semantic-segmentation-of-very-high-resolution-remote-sensing-images-considering-feature-state-sequences-from-be (retrieved 2026-05-24)
