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Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder
Research article (Remote Sensing, 2022) · cited 30× · AI/ML
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder
Summary
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder is a scholarly article[1].
Key Facts
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder'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). Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/extraction-of-floating-raft-aquaculture-areas-from-sentinel-1-sar-images-by-a-dense-residual-u-net-model-with-pre-traine
MLA“Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extraction-of-floating-raft-aquaculture-areas-from-sentinel-1-sar-images-by-a-dense-residual-u-net-model-with-pre-traine.
BibTeX@misc{4ortxyz_extraction-of-floating-raft-aquaculture-areas-from-sentinel-1-sar-images-by-a-dense-residual-u-net-model-with-pre-traine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder}}, year = {2026}, url = {https://4ort.xyz/entity/extraction-of-floating-raft-aquaculture-areas-from-sentinel-1-sar-images-by-a-dense-residual-u-net-model-with-pre-traine}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder — https://4ort.xyz/entity/extraction-of-floating-raft-aquaculture-areas-from-sentinel-1-sar-images-by-a-dense-residual-u-net-model-with-pre-traine (retrieved 2026-05-24)
