Subsurface imaging using laser vibrometry

An apparatus that comprises non-transitory, computer readable storage medium that stores instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• identifying a plurality of reflector locations in a region to be sensed;
• identifying output data from a survey performed by irradiating a plurality of reflectors positioned in the plurality of determined reflector locations with coherent electromagnetic energy and identifying one or more vibrations of the plurality of reflectors based on reflected electromagnetic energy from the plurality of reflectors;
• generating, with the output data from the survey, survey data associated with the identified vibrations for at least one reflector of the plurality of reflectors;
• providing the survey data as input to a machine learning algorithm;
• and
• generating, using the machine learning algorithm, a subsurface image associated with the region to be sensed.

A system for generating a subsurface image, comprising:

• a source of coherent electromagnetic energy;
• a plurality of reflectors positioned in a plurality of reflector locations in a region, each of the plurality of reflectors positioned to be irradiated with the coherent electromagnetic energy from the source of coherent electromagnetic energy;
• and
• a control system comprising:
• one or more processors;
• and
• one or more tangible, non-transitory media operably connectable to the one or processors and storing a machine learning model that, when executed, cause the one or more processors to perform operations comprising:
• identifying output data from a survey performed by irradiating the plurality of reflectors positioned in the plurality of determined reflector locations with the coherent electromagnetic energy and identifying one or more vibrations of the plurality of reflectors based on reflected electromagnetic energy from the plurality of reflectors;
• generating, with the output data from the survey, survey data associated with the identified vibrations for at least one reflector of the plurality of reflectors;
• providing the survey data as input to a machine learning algorithm;
• and generating, using the machine learning algorithm, a subsurface image associated with the region to be sensed.

A computer-implemented method for generating a subsurface image, comprising:

• identifying, with one or more hardware processors, a plurality of reflector locations in a region to be sensed;
• identifying, with the one or more hardware processors, output data from a survey performed by irradiating a plurality of reflectors positioned in the plurality of determined reflector locations with coherent electromagnetic energy and identifying one or more vibrations of the plurality of reflectors based on reflected electromagnetic energy from the plurality of reflectors;
• generating, with the one or more hardware processors and with the output data from the survey, survey data associated with the identified vibrations for at least one reflector of the plurality of reflectors;
• providing, with the one or more hardware processors, the survey data as input to a machine learning algorithm;
• and
• generating, with the one or more hardware processors and using the machine learning algorithm, a subsurface image associated with the region to be sensed.