From the 1 of 12 linked papers with an AI index.
12 papers
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…
Geometric Correction of Side-Scan Sonar Images with Image-Consistent Attitude Refinement
Can Lei, Valerio Franchi, Hayat Rajani +3
Side-scan sonar (SSS) images are susceptible to motion-induced geometric distortion, which degrades their reliability for seabed interpretation and downstream tasks. Existing corre…
Physically Motivated Knowledge Distillation for Blind Geometric Correction of Side-Scan Sonar Imagery
Can Lei, Hayat Rajani, Valerio Franchi +4
Side-scan sonar (SSS) imagery is susceptible to geometric distortions caused by platform motion instability, which degrade geometric consistency and limit downstream analyses such…
eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles
Jad Mansour, Sebastian Realpe, Hayat Rajani +3
Event-based cameras (EBCs) are poised to transform underwater robotics, yet the absence of labelled event-based datasets for underwater environments severely limits progress in tas…
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…