Eagle Technology, LLC

Tomoka Yamada

Mark Donald Rahmes

John L Delay

Glenn Boudreaux

William W Watkins

Thomas Jay Billhartz

David Priebel

An artificial intelligence (AI) system for geospatial height estimation may include a memory and a processor cooperating therewith to store a plurality of labeled predicted electro-optic (EO) image classified objects having respective elevation values associated therewith in a semantic label database, and train a model using trained EO imagery and the semantic label database. The processor may further estimate height values within new EO imagery for a geographic area based upon the trained model, and generate an estimated height map for the geographic area from the estimated height values and output the estimated height map on a display.

Artificial intelligence (AI) system and methods for generating estimated height maps from electro-optic imagery

An artificial intelligence (AI) system for generating a digital surface model (DSM) may include a memory and a processor cooperating therewith to determine an estimated height map from electro-optic (EO) imagery of a geographic area using artificial intelligence. The processor may further generate cost coefficients for a three-dimensional (3D) cost cube based upon stereo-geographic image data and height value seeding using the estimated height map, and generate a DSM for the geographic area based upon the 3D cost cube and outputting the DSM to a display.

Artificial intelligence (AI) system using height seed initialization for extraction of digital elevation models (DEMs) and related methods

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West Melbourne, FL, United States of America

Tomoka Yamada