Results 1 to 10 of about 6,122 (143)

Physics-Based Modelling and Simulation of Multibeam Echosounder Perception for Autonomous Underwater Manipulation [PDF]

open access: yesFrontiers in Robotics and AI, 2021
One of the key distinguishing aspects of underwater manipulation tasks is the perception challenges of the ocean environment, including turbidity, backscatter, and lighting effects.
Woen-Sug Choi   +8 more
doaj   +2 more sources

Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder [PDF]

open access: yesSensors, 2021
Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column studies. However, they rapidly collect huge volumes of data, which poses a challenge for water column data processing that is often still manual and time-
Annalisa Minelli   +5 more
doaj   +2 more sources

Multibeam bathymetry data of the western part of the Romanche Trench (Equatorial Atlantic) [PDF]

open access: yesData in Brief, 2021
We present the multibeam bathymetry data of the western part of the Romanche Trench (Equatorial Atlantic) which is the main natural corridor that regulates inflow of Antarctic Bottom Water into the eastern basin of the Atlantic Ocean.
Mariia V. Kapustina   +2 more
doaj   +2 more sources

High resolution optical and acoustic remote sensing datasets of the Puck Lagoon [PDF]

open access: yesScientific Data
The very shallow marine basin of Puck Lagoon in the southern Baltic Sea, on the Northern coast of Poland, hosts valuable benthic habitats and cultural heritage sites.
Łukasz Janowski   +11 more
doaj   +2 more sources

Australian compilation of seismic-derived bathymetry [PDF]

open access: yesScientific Data
This article presents a national seismic-derived bathymetric compilation based on the integration of 253 3D seismic surveys. Individual surveys were combined to produce four regional compilations covering an area of 267,000 km2, with a spatial resolution
Ulysse Lebrec   +5 more
doaj   +2 more sources

Integrated Reconstruction of Late Quaternary Geomorphology and Sediment Dynamics of Prokljan Lake and Krka River Estuary, Croatia

open access: yesRemote Sensing, 2023
The upper part of the Krka River estuary and Prokljan Lake are a specific example of a well-stratified estuarine environment in a submerged river canyon.
Ozren Hasan   +5 more
doaj   +1 more source

A long-term dataset of topography and nearshore bathymetry at the macrotidal pocket beach of Porsmilin, France

open access: yesScientific Data, 2022
Measurement(s) Beach topography • Nearshore bathymetry Technology Type(s) RTK-GNSS • Terrestrial laser scanning • Digital photogrammetry • Multibeam echosounder Factor Type(s) Elevation Sample Characteristic - Environment shore Sample Characteristic ...
Stéphane Bertin   +16 more
doaj   +1 more source

Uji Kualitas Data Pengukuran Batimetri Singlebeam Echosounder Berdasarkan SNI-7647 Tahun 2010 (Studi Kasus Survei Batimetri Menggunakan Hi-Target HD 370 di Laguna Pantai Glagah, Kulon Progo)

open access: yesJournal of Geospatial Information Science and Engineering, 2022
Survei batimetri merupakan kegiatan penting dalam kajian hidrografi untuk mengetahui kedalaman suatu perairan. Metode pengukuran batimetri menggunakan prinsip hidroakustik yaitu memanfaatkan cepat rambat gelombang suara di dalam air.
Sarono Sarono, Abdul Basith
doaj   +1 more source

Identifikasi Fitur Dasar Laut Menggunakan Data Multibeam Echosounder (Studi Kasus: Perairan Utara Papua)

open access: yesGeoid, 2020
Indonesia merupakan negara yang memiliki wilayah laut yang luas dengan topografi yang bervariasi. Proses identifikasi topografi membutuhkan teknologi dan pengetahuan terbaru. Untuk dapat mengidentifikasi fitur dasar laut diperlukan penelitian menggunakan
Aldias Fanan Fauzy   +3 more
doaj   +1 more source

Combining Two Classification Methods for Predicting Jakarta Bay Seabed Type Using Multibeam Echosounder Data

open access: yesJournal of Applied Geospatial Information, 2023
Classification of seabed types from multibeam echosounder data using machine learning techniques has been widely used in recent decades, such as Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Nearest Neighbor (NN).
Steven Solikin   +4 more
doaj   +1 more source

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