System for simplified generation of systems for broad area geospatial object detection

A system for broad area geospatial object detection comprising:

• an object model creation module comprising a processor, a memory, and a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the processor to:
• receive a plurality of orthorectified geospatial images in which an object of interest has been identified;
• retrieve a plurality of orthorectified geospatial images wherein objects that are not the object of interest, have been identified;
• and
• create an object classification model trained to classify only the object of interest;
• a machine learning classifier training and verification computer comprising a processor, a memory, and a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the processor to:
• accept at least one object classification model;
• retrieve a plurality of labeled and unlabeled orthorectified geospatial training images each comprising the object of interest;
• train a plurality of pre-built machine learning classifier elements, each running a pre-programmed machine learning protocol parameterized with the classification model, using the plurality of labeled and unlabeled orthorectified geospatial training images each comprising the object of interest;
• and
• for each trained machine learning classifier element, verify performance in classifying the object of interest using a plurality of unlabeled orthorectified geospatial training images comprising the object of interest and a plurality of unlabeled orthorectified geospatial training images that do not contain the object of interest;
• and
• a model-based object classifier comprising a processor, a memory, and a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the processor to:
• retrieve the plurality of trained machine learning elements for the object of interest;
• analyze a plurality of resolution scale-corrected, unanalyzed orthorectified geospatial image segments for presence of at least one object of interest;
• and
• report the presence and location of any objects of interest found.