From the 1 of 8 linked papers with an AI index.
8 papers
Geometry-Driven Opti-Acoustic Co-Registration and View-Invariant Reflectivity Mapping for Side-Scan Sonar
Taqi Hamoda, Nuno Gracias
Side-Scan Sonar (SSS) is a primary modality for large-scale underwater mapping, yet automated perception and cross-modal alignment are severely bottlenecked by acoustic complexitie…
BenthicDINO: Physics-Informed Self-Distillation for View-Invariant Side-Scan Sonar Representations
Taqi Hamoda, Hayat Rajani, Nuno Gracias
Automated perception in side-scan sonar (SSS) imagery is severely hindered by physical acoustic artifacts, resulting in representations that inextricably mix intrinsic seabed refle…
SC-Match: Scale-Space Matching with Context Consistency for Side-Scan Sonar Mapping
Can Lei, Rafael Garcia, Nuno Gracias +2
Reliable estimation of spatial correspondences between overlapping side-scan sonar (SSS) measurements is essential for mapping, but acoustic appearance variations, weak seabed text…
BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Hayat Rajani, Valerio Franchi, Borja Martinez-Clavel Valles +3
The paper presents BenthiCat, a large multi‑modal dataset of side‑scan sonar tiles, bathymetric maps, and co‑registered optical images for training and benchmarking machine learnin…
PhysDNet: Physics-Guided Decomposition Network of Side-Scan Sonar Imagery
Can Lei, Hayat Rajani, Nuno Gracias +2
Side-scan sonar (SSS) imagery is widely used for seafloor mapping and underwater remote sensing, yet the measured intensity is strongly influenced by seabed reflectivity, terrain e…
A Geometrically Consistent Matching Framework for Side-Scan Sonar Mapping
Can Lei, Hayat Rajani, Nuno Gracias +2
Robust matching of side-scan sonar imagery remains a fundamental challenge in seafloor mapping due to view-dependent backscatter, shadows, and geometric distortion. This paper prop…