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Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China
Research article (Remote Sensing, 2023) · cited 17× · AI/ML
Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China
Summary
Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China is a scholarly article[1].
Key Facts
Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/semantic-segmentation-model-for-wide-area-coseismic-landslide-extraction-based-on-embedded-multichannel-spectraltopograp
MLA“Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semantic-segmentation-model-for-wide-area-coseismic-landslide-extraction-based-on-embedded-multichannel-spectraltopograp.
BibTeX@misc{4ortxyz_semantic-segmentation-model-for-wide-area-coseismic-landslide-extraction-based-on-embedded-multichannel-spectraltopograp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China}}, year = {2026}, url = {https://4ort.xyz/entity/semantic-segmentation-model-for-wide-area-coseismic-landslide-extraction-based-on-embedded-multichannel-spectraltopograp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China — https://4ort.xyz/entity/semantic-segmentation-model-for-wide-area-coseismic-landslide-extraction-based-on-embedded-multichannel-spectraltopograp (retrieved 2026-05-24)
