SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery.

Dai J, He J

DOI: 10.3390/s26113483
Published: 2026 Jun 1
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26113483,
  title = {SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery.},
  author = {Dai J and He J},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26113483},
  url = {https://doi.org/10.3390/s26113483}
}

RIS

TY  - JOUR
TI  - SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery.
AU  - Dai J
AU  - He J
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26113483
UR  - https://doi.org/10.3390/s26113483
ER  -

APA

J, D., & J, H. (2026). SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26113483

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pubmed · retrieved 2026-11-10T09:52:15.248Z