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Backscatter Research - Coggle Diagram
Backscatter Research
Processing and disseminating Time Series
Standard NetCDF format
Backscatter data
Meta Data
Standard processing chain including Bayesian approach
Segmentation/Categorization
machine learning
deep learning
Identification incorporating ground truth data
Uncertainty estimation
Quantification
Shared Database
Define standard for annotation and labels (like coco standard for images)
Shared Library of annotated datasets (features, noise, ...)
Transfer Learning
Standard cartographic products
Quantitative mapping (dB)
Qualitative mapping (photo like)
Standard and scalable access
Automation and reproductibility
Modeling Backscatter versus frequency and angle
Physical targets sediment plume
Biological targets fish/placton
Seafloor sediment (geoacoustic parameters)
Physical fluid targets (cold, gaz, hydrothermal, etc)
Physical oceanic microstrcture
Building Physical standard measurement
Calibration
Compensating from beam geometry and target geometry
Compensating from propagation loss
Defining standard measurement Surface, Volume, Point Backscater
Measuring backscatter versus frequency and angle
SBES
Narrow Band
BroadBand
MBES
SideScan
OmniSonar
Building Relevant Time Series
Local Scale (>10km2)
USV
Gliders
AUV
Coastal vessels
Regional scale (>10000km2)
Deep-sea vessels
Large USV
Point scale
Profiler
Buoy
Building reference datasets
Controlled environment
At sea with alternative sensors and sampling tools for ground truth
Data compilation
Revisiting old uncalibrated time series
Homogenizing and merging old datasets
Key application topics
Sediment characterization
Benthic Habitat
Pelagic Habitat
Carbon flux
Ecosystem monitoring
Fishery stock assessment
Physical Oceanography
sediment transport
microstructure monitoring
Seabed sediment mapping