CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images

Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023) · cited 29× · AI/ML
Press Enter · cited answer in seconds

CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images

Summary

CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images is a scholarly article[1].

Key Facts

  • CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images's instance of is recorded as scholarly article[2].

📑 Cite this page

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). CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and-
MLA “CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and-.
BibTeX @misc{4ortxyz_crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images}}, year = {2026}, url = {https://4ort.xyz/entity/crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images — https://4ort.xyz/entity/crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/crofusenet-a-semantic-segmentation-network-for-urban-impervious-surface-extraction-based-on-cross-fusion-of-optical-and- · Last refreshed: