Bathymetry prediction
2 papers with code • 0 benchmarks • 1 datasets
This task has no description! Would you like to contribute one?
Benchmarks
These leaderboards are used to track progress in Bathymetry prediction
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.
MagicBathyNet
Most implemented papers
MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters
To address this issue, in this paper we present the MagicBathyNet, which is a benchmark dataset made up of image patches of Sentinel2, SPOT-6 and aerial imagery, bathymetry in raster format and annotations of seabed classes.
Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps
These include depth data gaps and noise in environments with homogeneous visual textures, which hinder the creation of accurate and complete Digital Surface Models (DSMs) of the seabed.
