Geospatial modeling system providing 3D geospatial model update based upon predictively registered image and related methods

A geospatial modeling method comprising:

• using a processor and associated memory for
• generating a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images and storing the 3D geospatial model in a memory,
• obtaining a newly collected geospatial image,
• determining a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image,
• simulating an atmospheric phenomena within the reference geospatial image corresponding to an atmospheric phenomena at a time of image capture of the newly collected geospatial image,
• aligning the newly collected geospatial image and the reference geospatial image to generate a predictively registered image, and
• updating the 3D geospatial model based upon the predictively registered image.

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

• generating a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images;
• obtaining a newly collected geospatial image;
• determining a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image;
• simulating an atmospheric phenomena within the reference geospatial image corresponding to an atmospheric phenomena at a time of image capture of the newly collected geospatial image;
• aligning the newly collected geospatial image and the reference geospatial image to generate a predictively registered image;
• and
• updating the 3D geospatial model based upon the predictively registered image.

A geospatial modeling system comprising:

• a memory and a processor cooperating therewith to
• generate a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images,
• obtain a newly collected geospatial image,
• determine a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image,
• align the newly collected geospatial image and the reference geospatial image to generate a predictively registered image, and
• perform change detection for the predictively registered image based upon semantic change detection using deep learning.

A geospatial modeling method comprising:

• using a processor and associated memory for
• generating a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images and storing the 3D geospatial model in a memory,
• obtaining a newly collected geospatial image,
• determining a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image,
• aligning the newly collected geospatial image and the reference geospatial image to generate a predictively registered image, and
• performing change detection for the predictively registered 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:

• generating a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images;
• obtaining a newly collected geospatial image;
• determining a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the newly collected geospatial image;
• aligning the newly collected geospatial image and the reference geospatial image to generate a predictively registered image;
• and
• performing change detection for the predictively registered image based upon semantic change detection using deep learning.