Object classification based on spatially discriminated parts

A non-transitory machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations for machine learning (ML) automatic target recognition (ATR) decision explanation, the operations comprising:

• receiving an object specification matrix from an object model database that indicates, for each of a plurality of physical portions of an object, whether each of a plurality of features are present or absent in a physical portion of the physical portions of the object and a proportional physical displacement between the features in the object;
• receiving feature data indicating for an image of a portion of the object, a likelihood whether each of the features are present in the image;
• determining based on the object specification matrix and the feature data, a probability that the image corresponds to the object;
• and
• providing the probability of the object to help classify the object.

A device comprising:

• a memory device including instructions stored thereon;
• and
• processing circuitry coupled to the memory device, the processing circuitry configured to execute the instructions, the instructions, when executed by the processing circuitry cause the processing circuitry to perform operations for machine learning (ML) automatic target recognition (ATR) decision explanation, the operations comprising:
• receiving an object specification matrix from an object model database that indicates, for each of a plurality of physical portions of an object, whether each of a plurality of features are present or absent in a physical portion of the physical portions of the object and a proportional physical displacement between the features in the object;
• receiving feature data indicating for an image of a portion of the object, a likelihood whether each of the features are present in the image;
• determining based on the object specification matrix and the feature data, a probability that the image corresponds to the object;
• and
• providing the probability of the object to help classify the object.