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The Open Backscatter Toolchain (OpenBST) project: towards an open-source and metadata-rich modular implementation

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The Open Backscatter Toolchain (OpenBST) project: towards an open-source and metadata-rich modular implementation

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Authors: G.Masetti, J-M.Augustin, M.Malik, C.Poncelet, X.Lurton, L.Mayer, G.Rice, M.Smith

The presentation was given at the U.S. Hydro 2019 Conference.

Abstract:
Most ocean mapping surveys collect seafloor reflectivity (backscatter) along with bathymetry. While the consistency of bathymetry processed by commonly adopted algorithms is well established, surprisingly large variability is observed between the backscatter mosaics generated by different software packages when processing the same dataset. Such a situation severely limits the use of acoustic backscatter for quantitative analysis (e.g., monitoring seafloor change over time, or remote characterization of seafloor characteristics) and other commonly attempted tasks (e.g., merging mosaics from different origins).
Acoustic backscatter processing involves a complex sequence of steps, but inasmuch as commercial software packages mainly provide end-results, comparisons between those results offer little insight into where in the workflow the differences are generated. In addition, preliminary results of a software-inter-comparison working group have shown that each processing algorithm tends to adopt a distinct, unique workflow; this causes large disagreements even in the initial per-beam reflectivity values resulting from differences in basic operations such as snippet averaging and evaluation of flagged beams.
Far from ideal, this situation requires a clear shift from the past closed-source approach that has caused it. As such, the Open Backscatter Toolchain (OpenBST) project aims to provide the community with an open-source and metadata-rich modular implementation of a toolchain dedicated to acoustic backscatter processing. The long-term goal is not to create processing tools that would compete with available commercial solutions, but rather a set of open-source, community-vetted, reference algorithms usable by both developers and users for benchmarking their processing algorithms.
As a proof-of-concept, we present a prototype implementation with the key elements of the OpenBST approach:
• The data conversion from a native acquisition format (i.e., Kongsberg EM Series) to NetCDF-based data structures (components of the eXtensible Sounder Format) better suited to data exploration, processing and metadata coupling.
• A processing pipeline constituted by a set of interlocking, task-oriented tools simplifying their substitution with alternative approaches.
• The creation of final products (i.e., angular response curves and backscatter mosaics) capturing relevant acquisition and processing metadata.

Authors: G.Masetti, J-M.Augustin, M.Malik, C.Poncelet, X.Lurton, L.Mayer, G.Rice, M.Smith

The presentation was given at the U.S. Hydro 2019 Conference.

Abstract:
Most ocean mapping surveys collect seafloor reflectivity (backscatter) along with bathymetry. While the consistency of bathymetry processed by commonly adopted algorithms is well established, surprisingly large variability is observed between the backscatter mosaics generated by different software packages when processing the same dataset. Such a situation severely limits the use of acoustic backscatter for quantitative analysis (e.g., monitoring seafloor change over time, or remote characterization of seafloor characteristics) and other commonly attempted tasks (e.g., merging mosaics from different origins).
Acoustic backscatter processing involves a complex sequence of steps, but inasmuch as commercial software packages mainly provide end-results, comparisons between those results offer little insight into where in the workflow the differences are generated. In addition, preliminary results of a software-inter-comparison working group have shown that each processing algorithm tends to adopt a distinct, unique workflow; this causes large disagreements even in the initial per-beam reflectivity values resulting from differences in basic operations such as snippet averaging and evaluation of flagged beams.
Far from ideal, this situation requires a clear shift from the past closed-source approach that has caused it. As such, the Open Backscatter Toolchain (OpenBST) project aims to provide the community with an open-source and metadata-rich modular implementation of a toolchain dedicated to acoustic backscatter processing. The long-term goal is not to create processing tools that would compete with available commercial solutions, but rather a set of open-source, community-vetted, reference algorithms usable by both developers and users for benchmarking their processing algorithms.
As a proof-of-concept, we present a prototype implementation with the key elements of the OpenBST approach:
• The data conversion from a native acquisition format (i.e., Kongsberg EM Series) to NetCDF-based data structures (components of the eXtensible Sounder Format) better suited to data exploration, processing and metadata coupling.
• A processing pipeline constituted by a set of interlocking, task-oriented tools simplifying their substitution with alternative approaches.
• The creation of final products (i.e., angular response curves and backscatter mosaics) capturing relevant acquisition and processing metadata.

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The Open Backscatter Toolchain (OpenBST) project: towards an open-source and metadata-rich modular implementation

  1. 1. OPEN BACKSCATTER TOOLCHAIN (OPENBST) PROJECT TOWARDS AN OPEN-SOURCE AND METADATA-RICH MODULAR IMPLEMENTATION G. MASETTI, J.-M. AUGUSTIN, M. MALIK, C. PONCELET, X. LURTON, L. MAYER, G. RICE, M. SMITH V1
  2. 2. Raw Data File Caris SIPS QPS FMGT Ifremer SonarScope Beams Pings Pings Pings Beams Beams Reflectivity[dB]
  3. 3. Nr.ofNoData Reflectivity[dB] Average Initial Reflectivity per Beam NoData Values for Initial Reflectivity per Beam Beams Beams
  4. 4. Reflectivity[dB] Average Initial Reflectivity per Beam NoData Values for Initial Reflectivity per Beam Beams Nr.ofValidData Histogram of Initial Reflectivity per Beam Reflectivity [dB]
  5. 5. RAW MOS Raw Data Decoding Geo Referencing Radiometric Corrections GEO BS ARA Angle Dep. Removal Mosaicking
  6. 6. RAW MOS Raw Data Decoding Geo Referencing Radiometric Corrections GEO BS ARA Angle Dep. Removal Mosaicking
  7. 7. A SHIFT IS REQUIRED FROM THE EXISTING CLOSED-SOURCE APPROACH
  8. 8. A SHIFT IS REQUIRED FROM THE EXISTING CLOSED-SOURCE APPROACH AN OPEN-SOURCE AND METADATA-RICH MODULAR IMPLEMENTATION
  9. 9. A SHIFT IS REQUIRED FROM THE EXISTING CLOSED-SOURCE APPROACH AN OPEN-SOURCE AND METADATA-RICH MODULAR IMPLEMENTATION NOT COMPETING WITH COMMERCIAL SOLUTIONS, BUT A SET OF COMMUNITY-VETTED, REFERENCE ALGORITHMS
  10. 10. KEY COMPONENTS 1. EXTENSIBLE SOUNDER FORMAT (XSF) 2. PROCESSING TOOLCHAIN 3. PRODUCTS WITH PROCESSING METADATA
  11. 11. EXTENDS SONAR-NETCDF4 FOLLOWS CF METADATA CONVENTIONS
  12. 12. RAW MOS Raw Data Decoding Geo Referencing Radiometric Corrections GEO BS ARA Angle Dep. Removal Mosaicking • OpenBST v. 0.1.0 • RawDecoding • perbeam_bs_from_snippets_using_median PROCESSING METADATA
  13. 13. GITHUB + PYDRO 2019
  14. 14. THANKS! You can contact us at: openbst@hydroffice.org

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