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Dataset in support of the thesis 'Predicting high-resolution terrain properties in robotic survey applications'

Dataset in support of the thesis 'Predicting high-resolution terrain properties in robotic survey applications'
Dataset in support of the thesis 'Predicting high-resolution terrain properties in robotic survey applications'
Haig Fras - Predicted seafloor habitat maps from SSS data Set of geo-referenced seafloor habitat class inferred from acoustic seafloor maps (Sidescan sonar) corresponding to Haig Fras MPA, UK. Generated using automated feature extraction and annotated optical seafloor habitat images as ground-truth for training a Bayesian NN model. Inference model repository available at: https://github.com/ocean-perception/bayesian-inference/
seafloor, sidescan sonar, Machine Learning, bayesian, haig fras, MPA
University of Southampton
Cappelletto, Jose De La Cruz
a6620d58-0abe-4f9d-9fd9-9ac474de9230
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Wardell, Catherine
fca74e02-0488-4c35-8d0f-c29633afb913
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Cappelletto, Jose De La Cruz
a6620d58-0abe-4f9d-9fd9-9ac474de9230
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Wardell, Catherine
fca74e02-0488-4c35-8d0f-c29633afb913
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9

Cappelletto, Jose De La Cruz (2025) Dataset in support of the thesis 'Predicting high-resolution terrain properties in robotic survey applications'. University of Southampton doi:10.5258/SOTON/D3357 [Dataset]

Record type: Dataset

Abstract

Haig Fras - Predicted seafloor habitat maps from SSS data Set of geo-referenced seafloor habitat class inferred from acoustic seafloor maps (Sidescan sonar) corresponding to Haig Fras MPA, UK. Generated using automated feature extraction and annotated optical seafloor habitat images as ground-truth for training a Bayesian NN model. Inference model repository available at: https://github.com/ocean-perception/bayesian-inference/

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pred_mean_10m_geoclr_L15m_h16_5955.csv - Dataset
Available under License Creative Commons Attribution Non-commercial.
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pred_mean_20m_ae_L45m_h128_0722.csv - Dataset
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pred_near_30m_ae_L45m_h04_1300.csv - Dataset
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pred_near_30m_geoclr_L45m_h04_3824.csv - Dataset
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More information

Published date: 2025
Related URLs:
Keywords: seafloor, sidescan sonar, Machine Learning, bayesian, haig fras, MPA

Identifiers

Local EPrints ID: 497776
URI: http://eprints.soton.ac.uk/id/eprint/497776
DOI: doi:10.5258/SOTON/D3357
PURE UUID: 735dda7b-f5d5-4324-bd39-faccb3ade2d4
ORCID for Jose De La Cruz Cappelletto: ORCID iD orcid.org/0000-0002-8891-6915
ORCID for Adrian Bodenmann: ORCID iD orcid.org/0000-0002-3195-0602

Catalogue record

Date deposited: 31 Jan 2025 17:30
Last modified: 26 Feb 2025 03:00

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Contributors

Creator: Jose De La Cruz Cappelletto ORCID iD
Contributor: Adrian Bodenmann ORCID iD
Contributor: Catherine Wardell
Research team head: Blair Thornton

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