Synthetically Seed Dynamic Data

Use the AGC Dynamic Data >  Synthetically Seed Dynamic Data option (Geosoft.uxo.gxnet.dll(Geosoft.GX.UXO.UxaSyntheticDynamicData;Run)*) to synthetically seed A seed item is an Industry Standard Object (ISO) or inert munition buried at a recorded location and depth; it is used as a process quality check for munitions response tasks, including detection surveys, static/cued surveys, and anomaly recovery operations. a dynamic dataset in order to perform quality control on the classification and ranking process of the data. You will be able to analyze the generated seeded dataset (DSD databases) and to calculate statistics to reveal how successfully the seed items were identified.

Before running this tool, to prevent placing seeds at the same location of a real (unknown) source, for the input dataset you should have already completed the following processing steps:

1. Data Processing
2. Latency Correction
3. Drift and Background Removal, e.g., Demedian Filter
4. Create Located Database

5. Create a Grid of the Amplitude Data (i.e., Amplitude Anomaly Grid)

After the seeding is complete, you can then process the seeded dataset similarly as you would do with other datasets (i.e. DAM). See the Application Notes below for more information.

Synthetically Seed Dynamic Data dialog options

Survey (DAM) Data
Database prefix	Select a database prefix from the list of available entries: these are the identified prefixes of type DAM (or DQC, DSD, DXM) for the databases (Parameter, Data, and Located) in your project folder. Use the browse button to the right of the field to locate a different folder. Script Parameter: UXANALYZE.SYN_DBPREFIX
Lines to process from located database	Select which lines to process: selected lines (default), the current line, or all lines. The selected lines will be read from the Located database. Script Parameter: UXANALYZE.SYN_DBLINE [0 - Selected lines (default); 1 - Current line; 2 - All lines]
Sensor channel suffix	Specify the sensor channel suffix for the levelled/background removed data. Default: NORM_LEV (if the channel exists in the database) Script Parameter: UXANALYZE.SYN_SNRSUFFIX
Gates	Select the Low, High and Decay gate numbers from the lists available. The low and high gates limit the range of data used when modelling the data. The decay gate along with the low gate are used to determine the decay for an item. The corresponding times are displayed in the Time gates read-only parameters. Low Select the low gate. The default value for low gate is read from the Target database channel: UXA_GateFirstValidTime. Typically, this is around 0.1ms after the current turn off. Script Parameter: UXANALYZE.SYN_LWGATE High Select the high gate. The default value for high gate is the highest gate. Script Parameter: UXANALYZE.SYN_HIGATE Decay Select the decay gate. The default value for decay gate is the gate closest to 1ms after the current turn off. Script Parameter: UXANALYZE.SYN_DECAYGATE Time of gates (ms) This is a read-only parameter that displays the time of gate from the survey database.
Pitch channel (deg)	Specify the pitch channel. Default: UXA_PITCH_FILT (if the channel exists in the database) Script Parameter: UXANALYZE.SYN_PITCH
Roll channel (deg)	Specify the roll channel. Default: UXA_ROLL_FILT (if the channel exists in the database) Script Parameter: UXANALYZE.SYN_ROLL
Heading channel (deg)	Specify the heading channel. This can be either the IMU yaw channel (i.e. UXA_Yaw_Filt) or course over ground (i.e. UXA_COG). Default: UXA_COG Course Over Ground (if the channel exists in the database) Script Parameter: UXANALYZE.SYN_HEADNG
Survey line direction (deg)	Enter the approximate survey line direction in degrees (between 0o and 360o) measured from the North. Click the button to calculate and display the default survey direction; you can always modify the entry to an appropriate value if desired. Script Parameter: UXANALYZE.SYN_ANGLE
Amplitude anomaly grid	Select an amplitude anomaly grid to guide the seeding process, to avoid placing the seeds directly or too close to the anomalous areas. Script Parameter:UXANALYZE.SYN_GRD
Background amplitude threshold (V/A)	Enter the signal amplitude threshold (between -100 and +100). The seeds will not be placed at locations where the amplitude is greater than the background amplitude threshold. Script Parameter: UXANALYZE.SYN_AMPANML
Area to seed (blank entire grid area)	Optionally, select a polygon (PLY file) to define a subarea to seed. The defining polygon should lie entirely within the amplitude anomaly grid area. If left blank, the entire amplitude anomaly grid area will be used. Script Parameter: UXANALYZE.SYN_PLY
Library Database
Name	Select the site library database that contains the signature polarizations for the seed items. Script Parameter: UXANALYZE.SYN_LBRDB
Group	Select the library group. Default: the first group in the selected library database Script Parameter: UXANALYZE.SYN_LBRGRP
Item description channel	Select the channel that contains the name or description of the items. This channel must contain unique values for each library item - typically this is the Library ID channel. Default: UXA_LIBRARY_ID (if the channel exists in the database) Script Parameter: UXANALYZE.SYN_LBRDSC
Seeds
Item	Select a seed item from the library. Script Parameter: UXANALYZE.SYN_ITEM
Depth (m)	Specify the depth range to seed through. The seeds will be randomly placed within the specified depth range. However, if you would like all seeds to be placed at the same depth, set the minimum depth equal to the maximum depth. Min Enter a minimum depth value. Script Parameter: UXANALYZE.SYN_MINDPTH Max Enter a maximum depth value. The specified value should be < 10 m. Script Parameter: UXANALYZE.SYN_MAXDPTH
Orientation	Select the seeds inclination, which can be fixed or random: Horizontal (0o)  Inclined 45 (45o) Vertical (90o)  Random The declination/azimuth is automatically randomized (0 to 360 degrees). Script Parameter: UXANALYZE.SYN_ORNT [0: Horizontal (default); 1- Inclined 45; 2 - Vertical; 3 - Random]
Number	Specify the number of seeds to be created. See the section Placing the Seeds under Application Notes for more information. Script Parameter: UXANALYZE.SYN_NOFSEEDS
Output database prefix	Specify the prefix for the output databases. Default: selected Database prefix entry Script Parameter: UXANALYZE.SYN_OUTPUTPREFIX

Application Notes

A seed item is an Industry Standard Object (ISO), or inert munition buried at a recorded location and depth; it is used as a process quality check for munitions response tasks, including detection surveys, static/cued surveys, and anomaly recovery operations. The types of physical seeds are:

• Quality control (QC) seed - The identity, location, and depth of the seed item are blind (not known) to all members of the survey team. Ideally, QC seeds are distributed such that the field teams can be expected to encounter between one and three seeds per day per team.
• Validation seed - The identity, location, and depth of the seed item are blind to the contractor. Emplaced by, or on behalf of, the government, they are used to evaluate overall contractor performance on advanced geophysical classification projects.

Synthetic Seeding

Synthetic seeds are a form of quality control seeding, where the forward response of a target of interest is calculated and then added to a dataset. This can be done by an analyst to test a hypnosis or blind (unknown) to test the classification processing. Prior to running this tool, to synthetically seed a dataset, the expectation is that the imported survey data will go first through the initial processing stage, any required latency and drift/background removal corrections are applied, a located database is created, and the amplitude data is gridded.

The tool will synthetically seed the data and create a dynamically seeded dataset (with the datatype code of DSD). You can then use this DSD dataset to pick targets and classify and rank the sources for a better understanding of your data and to improve the quality control of the datasets.

Placing the Seeds: 

The area or interest (AOI) is defined by the extent of the amplitude anomaly grid or by the polygon, if selected. Seeds are placed at random locations within the AOI and at random depths within the defined depth range. In order to prevent placing seeds at or close to the location of a real (unknown) source, the amplitude anomaly grid will be windowed to exclude areas above the background amplitude threshold, and the seeds will not be placed inside those areas. When placing a seed, after ten consecutive unsuccessful attempts to determine a location, the process will stop and the results obtained so far are saved. In such a case, you will see a message indicating how many seeds were successfully placed. In addition, you will see warnings if the number of seeds exceeds the available background area of your AOI.

Output – The Dynamic Seeded Dataset (DSD)

Upon running the tool, the following DSD databases and channels are created:

• DSD_Parameter – no change from the input parameter database (i.e. DAM_Parameter)

• DSD_Data – no change from the input data database (i.e. DAM_Data), other than values in the transient data channels will now contain the synthetic responses
• DSD_Located – automatically created from the DSD data
• DSD_Seed - a new database containing the details of each of the synthetic seeds, such as description, location, orientation, etc.
  Expand to see the list of channels created

  • ID:  UXA_Seed_Id
  • X: UXA_Seed_X
  • Y: UXA_Seed_Y
  • Depth: UXA_Seed_DepthBSG
  • Inclination: UXA_Seed_Inc
  • Declination: UXA_Seed_Dec
  • Description: UXA_Seed_Description
  • Signal amplitude: UXA_SigAmp
  • Polarizations: UXA_Fit_B1, UXA_Fit_B2, UXA_Fit_B3
  • Size: UXA_Size#, where # is the low gate.
  • Predicted size: UXA_Size_Predicted
  • Decay: UXA_Decay#, where # is the decay gate.

After the seeding is complete, the seeded dataset (DSD) can be processed in a similar manner to a DAM dataset, where you:

• create an Amplitude Anomaly Grid,
• create a Coherence Anomaly Grid,
• pick Target Locations from the anomaly grids,
• run Classify and Rank to invert, perform library matches, and rank the sources, and
• calculate Seed Statistics to determine the performance of the classification process.