System and methods for early detection of non-biological mobile aerial target

A system configured to classify a moving airborne target, comprising:

• a camera in communication with one or more processors;
• one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to:
• capture a plurality of images of the moving airborne target, the images being captured in a frequency of light in a first band ranging from 400 nm to 700 nm and a second band ranging from 700 nm to 1100 nm;
• amplify microscopic temporal variations between the plurality of images of the target and generate a profile of a rate of change of at least one microscopic temporally detected variation of the geometry of the two-dimensional image of the target in the first band;
• and
• measure a color intensity value of the moving airborne target based on the images of the airborne target captured in the second band and compare the color intensity value to a profile of known color intensity values corresponding to airborne biological and non-biological subjects.

A system configured to classify a moving airborne target, comprising:

• a camera in communication with one or more processors;
• one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to:
• capture a plurality of images of the moving airborne target and amplify microscopic temporal variations between the plurality of images of the target and generate a profile of the at least one microscopic temporally detected variation of the two-dimensional geometry of the image of the target;
• wherein the at least one microscopic temporally detected variation of the two-dimensional geometry comprises a vertical variation in the two-dimensional geometry of the moving target.

One or more computer readable media, comprising:

• one or more non-transitory computer-readable media storing instructions, wherein the instructions, when executed by one or more computing devices, cause at least one of the one or more computing devices to:
• scan a predetermined area of an aerial landscape for an airborne target;
• capture a plurality of images of the airborne target;
• amplify microscopic temporal variations between the plurality of images of the airborne target in the frequency range of 400 nm to 700 nm, wherein the at least one microscopic temporally detected variation comprises a change in the geometry of a two-dimensional image of the airborne target;
• after detecting a change in the geometry of the image of the airborne target, detect an intensity value of the airborne target in the frequency range of 700 nm to 1100 nm;
• and
• compare the intensity value of the airborne target to a profile of intensity values of known airborne biological or non-biological subjects to determine if the airborne target is a known biological subject or non-biological subject.

A method of classifying a distant unknown target, comprising:

• scanning a predetermined area of an aerial landscape with one or more cameras for an airborne target;
• capturing a plurality of images of the airborne target with the one or more cameras, the one or more cameras in communication with a processor;
• amplifying microscopic temporal variations between the plurality of images of the airborne target in the frequency range of 400 nm to 700 nm, wherein the at least one microscopic temporally detected variation comprises a change in the geometry of a two-dimensional image of the airborne target;
• after detecting a change in the geometry of the image of the airborne target, detecting an intensity value of the airborne target in the frequency range of 700 nm to 1100 nm;
• generating a profile of a rate of change of at least one microscopic temporally detected variation of the geometry of the two-dimensional image of the target;
• comparing the profile of the target to a pre-existing aggregate profile of a plurality of known airborne biological or non-biological subjects, the aggregate profile corresponding to the at least one microscopic temporally detected variation of geometry of the two-dimensional image of the known airborne biological or non-biological subjects;
• and
• detecting differences between the profile of the airborne target and the aggregate profile of the plurality of known targets and determining a probability that the airborne target is one of the known targets.

One or more computer readable media, comprising:

• one or more non-transitory computer-readable media storing instructions, wherein the instructions, when executed by one or more computing devices, cause at least one of the one or more computing devices to:
• scan a predetermined area of an aerial landscape for an airborne target;
• capture a plurality of images of the airborne target;
• amplify microscopic temporal variations between the plurality of images of the airborne target in the frequency range of 400 nm to 700 nm, wherein the at least one microscopic temporally detected variation comprises a change in the geometry of a two-dimensional image of the airborne target;
• after detecting a change in the geometry of the image of the airborne target, detect an intensity value of the airborne target in the frequency range of 700 nm to 1100 nm;
• generate a profile of a rate of change of at least one microscopic temporally detected variation of the geometry of the two-dimensional image of the target;
• compare the profile of the target to a pre-existing aggregate profile of a plurality of known airborne biological or non-biological subjects, the aggregate profile corresponding to the at least one microscopic temporally detected variation of geometry of the two-dimensional image of the known airborne biological or non-biological subjects;
• and
• detect differences between the profile of the airborne target and the aggregate profile of the plurality of known targets and determining a probability that the airborne target is one of the known targets.