SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV
This paper proposes a novel SDA-Mask R-CNN framework for precise seabed terrain edge feature extraction from Side-Scan Sonar (SSS) images to enhance Unmanned Underwater Vehicle (UUV) perception and navigation. The developed architecture addresses critical challenges in underwater image analysis, inc...
Na minha lista:
| Principais autores: | , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-04-01
|
| coleção: | Journal of Marine Science and Engineering |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2077-1312/13/5/863 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|