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Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example

Research article (Remote Sensing, 2021) · cited 28× · AI/ML
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Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example

Summary

Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example is a scholarly article[1].

Key Facts

  • Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example's Taking the Fujian Coastal Area is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-weakly-supervised-semantic-segmentation-method-and-its-application-for-coastal-aquaculture-areas-based-on-multi-sou
MLA “Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-weakly-supervised-semantic-segmentation-method-and-its-application-for-coastal-aquaculture-areas-based-on-multi-sou.
BibTeX @misc{4ortxyz_semi-weakly-supervised-semantic-segmentation-method-and-its-application-for-coastal-aquaculture-areas-based-on-multi-sou_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example}}, year = {2026}, url = {https://4ort.xyz/entity/semi-weakly-supervised-semantic-segmentation-method-and-its-application-for-coastal-aquaculture-areas-based-on-multi-sou}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example — https://4ort.xyz/entity/semi-weakly-supervised-semantic-segmentation-method-and-its-application-for-coastal-aquaculture-areas-based-on-multi-sou (retrieved 2026-05-24)

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