The latest release of Oasis montaj 2022.1 significantly improves UXO Marine target modelling. The new features and improved UXO target modeling allow users to better understand their target lists. Moreover, you can reduce investigation and remediation costs with streamlined data analysis and modelling tools that make it easier to produce high-quality data products.
A new tool, Calculate Signal Strength, Signal to Noise Ratio, and Size, calculates target polygon windows and several metrics for your targets. This tool uses a grid or a database to define polygons around each of your anomalies. Within that data window (polygon), several metrics for each anomaly are calculated: namely, signal strength, size, and signal-to-noise ratio. The target polygons can then be used to model your targets using Batch Fit.
Because it is highly recommended to review the polygons on your map before using them for modelling and target analysis, you can use the new tool Redefine Target Windows to edit your polygons. For example, noise in the data may cause a double peak in an anomaly resulting in a polygon that does not entirely encompass your target.
Batch modelling in UXO Marine now supports polygons. Using the polygons calculated in the Calculate Signal Strength, Signal to Noise Ratio, and Size tool is a common way to generate these polygons. Otherwise, batch modelling will use a square window.
Calculate Target Size is now called Calculate Euler Target Sizes, which better describes its functionality: calculating the size of the window in Euler deconvolution. It still calculates a size channel, which is the half-width of a square window around your target. However, it is helpful to inspect the calculated sizes and adjust them when necessary, so we have added a new tool called Plot Euler Target Windows that plots your size channel as a proportionally sized symbol on your map.
It allows you to visualize your target windows quickly to discern if they are the appropriate size for your target modelling. If you make any edits to the size channel, you can quickly rerun it and inspect the changes.
After you have completed target modelling, you can better understand and document the results by visualising both the modelled and observed data, with the data residual (the difference between the observed and modelled results).
The new Create Modelling Results Map tool will create a map for each target in your group for chosen observed values. This tool uses the targets database and the modelling database, which is the database containing the data in the anomalies windows that were used for the modelling.
The new Merge Target Databases tool merges up to four separate target databases into a single combined, merged target database, which is useful when multiple target lists are generated from different sensors or data types. For example, you may have a magnetic anomaly target list and a side-scan sonar target list, and you would like to compare which targets were detected using both methods. This type of analysis can help you discern targets of interest.
In the Merge Target Databases tool, you can specify a search radius that will cluster or group targets within that radius. The final merged target database will have two groups; one listing all the targets you have merged, and a second where we have identified clusters of targets within the specified radius.
