System for performing change detection within a 3D geospatial model based upon semantic change detection using deep learning and related methods

A system comprising:

• a memory and a processor cooperating therewith to
• obtain geospatial image data from a plurality of different types of sensors and generate a three-dimensional (3D) geospatial model therefrom,
• simulate an atmospheric phenomena within the 3D geospatial model corresponding to an atmospheric phenomena at a time of image capture by at least one of the different types of sensors,
• determine a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model and the simulated atmospheric phenomena, and
• perform change detection between a collected image and the reference image based upon semantic change detection using a convolutional neural network architecture (CNN).

A method comprising:

• obtaining and storing geospatial image data in a memory from a plurality of different types of sensors;
• and
• using a processor for
• generating a three-dimensional (3D) geospatial model from the stored geospatial image data,
• determining a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model, and
• performing change detection between a collected image and the reference image based upon semantic change detection using deep learning.

A non-transitory computer-readable medium having computer-executable instructions for causing a processor to perform steps comprising:

• obtaining and storing geospatial image data in a memory from a plurality of different types of sensors;
• generating a three-dimensional (3D) geospatial model from the stored geospatial image data;
• determining a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model;
• and
• performing change detection between a collected image and the reference image based upon semantic change detection using deep learning.