Abstract: A method can include receiving, from a non-destructive testing (NDT) scanner, a plurality of A-Scans of a length of a scanned region, generating a raw B-Scan of the scanned region using the plurality of A-Scans, receiving, from a position sensor coupled to the NDT scanner, a plurality of distance measurements of the NDT scanner along the length of the scanned region, matching each of the plurality of A-Scans with a distance measurement of the plurality of distance measurements to form a plurality of distance-assigned A-Scans, and normalizing the raw B-Scan, using the plurality of distance-assigned A-Scans, to form a normalized B-Scan, wherein each column of the normalized B-Scan represents the same distance along the length of the scanned region.

Abstract: A method for estimating a depth of one or more buried objects can include receiving, from a non-destructive testing (NDT) scanner, a B-Scan image of a scanned region. Using a machine learning model, a hyperbola in the B-Scan image can be identified. At least one geometric feature of the hyperbola can be determined. Based upon the at least one geometric feature of the hyperbola, a dielectric constant in at least a portion of the scanned region can be determined. A depth of the one or more objects beneath a surface of the scanned region can be determined based upon the determined dielectric constant.

Abstract: A tool carrier rigging is provided. The tool carrier has a base strap and a loop strap joined to the base strap at a plurality of joints. The joints are spaced apart at a first regular interval. The tool carrier has a carrier loop having a section of the base strap and a section of the loop strap joined at two joints spaced apart according to the first regular interval. A tensioning closure is provided to reversibly join a first end of the tool carrier and a second end of the tool carrier.