Systems and methods for the localization of objects buried in the seabed

A non-transitory computer-readable medium including instructions configured to be executed by a processor, wherein the executed instructions are adapted to cause the processor to:

• access a database, the database including a plurality of predetermined parameters for the targeted objects;
• scan, via a sub-bottom profiler, a targeted area of the seabed for at least one of the targeted objects based on a corresponding predetermined parameter for the at least one of the targeted objects;
• receive sub-bottom profiler data from the sub-bottom profiler, the sub-bottom profiler data comprising a set of data points representing the location of a plurality of physical points on the exterior surface of the at least one of the targeted objects;
• model, via a localization engine, the sub-bottom profiler data;
• determine distance measurements based on the modeled sub-bottom profiler data, the distance measurements comprising a vertical range based on a slant range, the slant range measured from the sub-bottom profiler to the closest one of the plurality of physical points on the exterior surface of the at least one of the targeted objects;
• and,
• determine a location of the at least one of the targeted objects based on the distance measurements, wherein the localization engine implements a Levenberg-Marquardt non-linear least squares determination.

A system for detecting and localizing targeted objects buried in a seabed, comprising:

• a memory to store executable instructions;
• and,
• a processor adapted to access the memory, the processor further adapted to execute the executable instructions stored in the memory to:
• access a database, the database including a plurality of predetermined parameters for the targeted objects;
• scan, via a sub-bottom profiler, a targeted area of the seabed for at least one of the targeted objects based on a corresponding predetermined parameter for the at least one of the targeted objects;
• receive sub-bottom profiler data from the sub-bottom profiler, the sub-bottom profiler data comprising a set of data points representing the location of a plurality of physical points on the exterior surface of the at least one of the targeted objects;
• model, via a localization engine, the sub-bottom profiler data;
• determine distance measurements based on the modeled sub-bottom profiler data, the distance measurements comprising a vertical range based on a slant range, the slant range measured from the sub-bottom profiler to the closest one of the plurality of physical points on the exterior surface of the at least one of the targeted objects;
• and,
• determine a location of the at least one of the targeted objects based on the distance measurements, wherein the localization engine implements a Levenberg-Marquardt non-linear least squares determination.