Object detection system determining object boundary edges from Penrose gradient data and related methods

An object detection system comprising:

• a memory and a processor cooperating with the memory to
• determine gradient in-phase and quadrature-phase (GIQ) data from image data corresponding to a geospatial scene, the scene including an object therein,
• process the GIQ data using a Penrose transform to generate Penrose GIQ data including a plurality of peaks corresponding to the object,
• perform edge filtering on the Penrose GIQ data to determine boundary edges corresponding to the object based upon the plurality of peaks,
• determine a classification of the object based upon the determined boundary edges using an object classification model,
• determine a geospatial location of the object from the boundary edges and output the geospatial location with the object classification, and
• output the object classification and geospatial location.

An object detection method comprising:

• using a processor and a memory associated therewith to
• determine gradient data from image data corresponding to a scene, the scene including an object therein,
• process the gradient data using a Penrose transform to generate Penrose gradient data including a plurality of peaks corresponding to the object,
• perform edge filtering on the Penrose gradient data to determine boundary edges corresponding to the object based upon the plurality of peaks,
• determine a classification of the object based upon the determined boundary edges using an object classification model, and
• output the object classification.