Compression of multibeam echosounders bathymetry and water column data
Visualitza/Obre
Cita com:
hdl:2117/368205
Tipus de documentArticle
Data publicació2022-04-25
EditorMultidisciplinary Digital Publishing Institute (MDPI)
Condicions d'accésAccés obert
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Reconeixement 4.0 Internacional
ProjecteLOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS II (AEI-RTI2018-095076-B-C21)
IMPACTOS DE LARGO ALCANCE DE LAS CASCADAS DE AGUA DENSA EN EL OCEANO ATLANTICO NORTE Y EL MAR MEDITERRANEO (FAR-DWO) (AEI-PID2020-114322RB-I00)
SIDEW - Seabed Imprint of Dense Shelf Water Cascading (EC-H2020-658358)
METODOS ROBUSTOS PARA INFERENCIA ESTADISTICA, INTEGRIDAD DE DATOS Y GESTION DE INTERFERENCIA - 2 (AEI-PID2019-105717RB-C22)
IMPACTOS DE LARGO ALCANCE DE LAS CASCADAS DE AGUA DENSA EN EL OCEANO ATLANTICO NORTE Y EL MAR MEDITERRANEO (FAR-DWO) (AEI-PID2020-114322RB-I00)
SIDEW - Seabed Imprint of Dense Shelf Water Cascading (EC-H2020-658358)
METODOS ROBUSTOS PARA INFERENCIA ESTADISTICA, INTEGRIDAD DE DATOS Y GESTION DE INTERFERENCIA - 2 (AEI-PID2019-105717RB-C22)
Abstract
Over the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of the seafloor and water column. Water column imaging MBES surveys acquire significant amounts of data with rates that can exceed several GB/h depending on the ping rate. These large file sizes obtained from recording the full water column backscatter make remote transmission difficult if not prohibitive with current technology and bandwidth limitations. In this paper, we propose an algorithm to decorrelate water column and bathymetry data, focusing on the KMALL format released by Kongsberg Maritime in 2019. The pre-processing stage is integrated into FAPEC, a data compressor originally designed for space missions. Here, we test the algorithm with three different datasets: two of them provided by Kongsberg Maritime and one dataset from the Gulf of Mexico provided by Fugro USA Marine. We show that FAPEC achieves good compression ratios at high speeds using the pre-processing stage proposed in this paper. We also show the advantages of FAPEC over other lossless compressors as well as the quality of the reconstructed water column image after lossy compression at different levels. Lastly, we test the performance of the pre-processing stage, without the constraint of an entropy encoder, by means of the histograms of the original samples and the prediction errors.
CitacióMartí, A. [et al.]. Compression of multibeam echosounders bathymetry and water column data. "Remote sensing", 25 Abril 2022, vol. 14, núm. 9, article 2063, p. 1-21.
ISSN2072-4292
Versió de l'editorhttps://www.mdpi.com/2072-4292/14/9/2063
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remotesensing-14-02063-v2.pdf | 2,473Mb | Visualitza/Obre |