Home ›
Entities
› academia
› An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2024) · cited 45× · AI/ML
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
Summary
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples is a scholarly article[1].
Key Facts
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples'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). An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-urban-flood-mapping-framework-towards-disaster-response-driven-by-weakly-supervised-semantic-segmentation-w
MLA“An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-urban-flood-mapping-framework-towards-disaster-response-driven-by-weakly-supervised-semantic-segmentation-w.
BibTeX@misc{4ortxyz_an-efficient-urban-flood-mapping-framework-towards-disaster-response-driven-by-weakly-supervised-semantic-segmentation-w_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-urban-flood-mapping-framework-towards-disaster-response-driven-by-weakly-supervised-semantic-segmentation-w}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples — https://4ort.xyz/entity/an-efficient-urban-flood-mapping-framework-towards-disaster-response-driven-by-weakly-supervised-semantic-segmentation-w (retrieved 2026-05-24)