Patent ID: 11869235
Assignee: ARCHITECTURE TECHNOLOGY CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
receiving, by a computer, a plurality of first representations generated by a trained autoencoder using first imagery data of a first sensor type and a labeled dataset indicating a plurality of terrain types that correspond to the plurality of first representations in the first imagery data;
generating, by the computer executing a machine-learning architecture, a trained classifier of the machine-learning architecture to classify the plurality of terrain types, by applying the machine-learning architecture on the plurality of first representations generated using the first imagery data of the first sensor type and the labeled dataset;
receiving, by the computer, one or more second representations generated by the trained autoencoder using second imagery data of a second sensor type;
identifying, by the computer executing the machine-learning architecture, one or more terrain types in the second imagery data, by applying the machine-learning architecture including the trained classifier on the one or more second representations generated using the second imagery data of the second sensor type; and
generating, by the computer, a graphical user interface to display the one or more terrain types identified in the second imagery data.