Abstract: 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.

Abstract: 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.

Abstract: A system may include a memory and a processor cooperating therewith to obtain geospatially registered first and second interferometric synthetic aperture radar (IFSAR) images of a geographic area having respective first and second actual grazing angles with a difference therebetween, and convert the first IFSAR image to a modified first IFSAR image having a modified first grazing angle based upon known terrain elevation data for the geographic area. The modified first grazing angle may be closer to the second actual grazing angle than the first actual grazing angle. The processor may further recover updated terrain elevation data for the geographic area based upon the modified first IFSAR image and the second IFSAR image.

Abstract: A system may include 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. The processor may further determine a reference image within the 3D geospatial model based upon synthetically positioning an image sensor within the 3D geospatial model, and perform change detection between a collected image and the reference image based upon semantic change detection using deep learning.

Abstract: A radio frequency (RF) communication system may include mobile vehicles, with each mobile vehicle including RF equipment and a controller. The controller may be configured to determine a reward matrix based upon possible RF equipment configurations and associated operational parameters, and operate the RF equipment to implement an RF equipment configuration based upon the reward matrix. The system may also include an oversight controller configured to update respective reward matrices of the mobile vehicles.

Abstract: A seismic modeling system is provided which may include a seismic model data storage device, and a processor cooperating with the seismic model data storage device to identify an obstruction within a seismic model spatial domain data set having a lateral boundary, and define a suspect area including spatial domain data within the lateral boundary and directly below the obstruction. The processor may further inpaint the suspect area in the seismic model spatial domain data set based upon an exemplar inpainting algorithm.

Abstract: A radio frequency (RF) communication system may include of mobile vehicles, with each mobile vehicle including RF equipment and a controller. The controller may be configured to operate the RF equipment, determine a reward matrix based upon possible positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle, and implement a positional adjustment of the mobile vehicle based upon the reward matrix. The system may also include an oversight controller configured to update respective reward matrices of the mobile vehicles.

Abstract: A system is for monitoring marine vessels that generate automatic identification system (AIS) message data. The system may include a memory and a processor cooperating therewith to train a maritime scenario topic model using training textual data having known corresponding maritime scenarios associated therewith. The training textual data may include AIS message data. The processor operate the trained maritime scenario topic model on new textual data having unknown corresponding maritime scenarios to determine probabilistic maritime scenarios corresponding to the new textual data, where the new textual data includes new AIS message data. The processor may further generate an alert based upon the probabilistic maritime scenarios.

Abstract: A system is for processing seismic data for a geologic formation generated by an array of acoustic transducers responsive to an acoustic source. The system may include a seismic data storage device, and a processor cooperating with the seismic data storage device to generate correlations of data from the array of acoustic transducers based upon a current estimate for at least one of density and velocity of the geologic formation, and perform a linear optimization based upon a plurality of different combinations of the correlations to determine a given subset of correlations having a highest objective function associated therewith. The processor may also update the current estimate for at least one of density and velocity of the geologic formation based upon the given subset of correlations.

Abstract: A radio frequency (RF) communication system may include of mobile vehicles, with each mobile vehicle including RF equipment and a controller. The controller may be configured to operate the RF equipment, determine a reward matrix based upon possible positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle, and implement a positional adjustment of the mobile vehicle based upon the reward matrix. The system may also include an oversight controller configured to update respective reward matrices of the mobile vehicles.

Abstract: A radio frequency (RF) communication system may include mobile vehicles, with each mobile vehicle including RF equipment and a controller. The controller may be configured to determine a reward matrix based upon possible RF equipment configurations and associated operational parameters, and operate the RF equipment to implement an RF equipment configuration based upon the reward matrix. The system may also include an oversight controller configured to update respective reward matrices of the mobile vehicles.

Abstract: A dental imaging system may include an X-ray source, a first optical alignment device, and a dental image collection device. The dental image collection device may include a mouthpiece, at least one electronic X-ray sensor carried by the mouthpiece, and a second optical alignment device carried by the mouthpiece and cooperating with the first optical alignment device to facilitate optically aligning the mouthpiece with the X-ray source. The system may also include a dental image processing device coupled to the at least one electronic X-ray sensor.

Abstract: A seismic modeling system may include a seismic model data storage device, and a processor cooperating with the seismic model data storage device to determine a first 3D boundary around a suspect region within a first seismic model spatial domain data set for a geological formation at a first time, and determine a second 3D boundary around the suspect region within a second seismic model spatial domain data set for the geological formation at a second time and after movement of the suspect region. The processor may also compare the second 3D boundary to the first 3D boundary to determine an overlapping portion where the first and second 3D boundary regions overlap, and at least one non-overlapping portion where the first and second 3D boundaries do not overlap, and inpaint the overlapping portion based upon the at least one non-overlapping portion.

Abstract: A system for monitoring marine vessels using a satellite network may include a plurality of satellite payloads to be carried by respective satellites. Each satellite payload may include a communications interface configured to communicate via the satellite network, a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and a controller cooperating with the communications interface and the RF transceiver. The controller may obtain automatic identification system (AIS) data including vessel position and call sign information via the transceiver, and communicate the AIS system data via the communications interface. The system may further include a terrestrial station configured to receive the AIS system data and determine therefrom a rendezvous between marine vessels which pass within a threshold distance for greater than a threshold time.

Abstract: A system for monitoring marine vessels using a satellite network may include a plurality of satellite payloads to be carried by respective satellites. Each satellite payload may include a communications interface configured to communicate via the satellite network, a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and a controller cooperating with the communications interface and the RF transceiver. The controller may obtain automatic identification system (AIS) data including vessel position and call sign information via the RF transceiver, and communicate the AIS system data via the communications interface. The system may further include a terrestrial station configured to receive the AIS data, process aerial marine imagery using a fractal algorithm to assign respective vessel classifications to a plurality of marine vessels, and correlate the vessel classifications with AIS data.

Abstract: A system for processing seismic data for a geologic formation generated by an array of acoustic transducers responsive to an acoustic source may include a seismic data storage device and a processor. The processor may cooperate with the seismic data storage device to use a volatility measurement model to generate current correlations of data from the array of acoustic transducers based upon a current estimate for at least one of density and velocity of the geologic formation, and compare the current correlations to a threshold. When the current correlations are below the threshold, the processor may update the current estimate for at least one of density and velocity of the geologic formation, and repeat use of the volatility measurement model to generate updated correlations of data from the array of acoustic transducers based upon the updated estimate for at least one of density and velocity of the geologic formation.

Abstract: A seismic modeling system may include a seismic model data storage device, and a processor cooperating with the seismic model data storage device to transform a seismic model spatial domain data set associated with a given region into a seismic frequency domain data set, where the given region includes a suspect region, transform a seismic model spatial domain data subset associated with the suspect region into a seismic frequency domain data subset, and perform inpainting of the seismic frequency domain data subset based upon the seismic frequency domain data set. The processor may further convert the inpainted seismic frequency domain data subset into an inpainted spatial domain data subset, and substitute the inpainted spatial domain data subset for the seismic model spatial domain data subset associated with the suspect region in the seismic model spatial domain data set associated with the given region.

Abstract: A system for monitoring marine vessels using a satellite network may include a plurality of satellite payloads to be carried by respective satellites. Each satellite payload may include a communications interface configured to communicate via the satellite network, a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and a controller cooperating with the communications interface and the RF transceiver. The controller may be configured to obtain automatic identification system (AIS) data including vessel position and call sign information via the RF transceiver, and communicate the AIS system data via the communications interface. The system may further include a terrestrial station configured to receive the AIS system data, receive social media data, and determine expected passenger lists for the marine vessels based upon the AIS data and social media data.

Abstract: A seismic modeling system may include a seismic model data storage device, and a processor cooperating with the seismic model data storage device to transform a seismic model spatial domain data set associated with a given region into a seismic frequency domain data set, where the given region includes a suspect region, transform a seismic model spatial domain data subset associated with the suspect region into a seismic frequency domain data subset, and perform inpainting of the seismic frequency domain data subset based upon the seismic frequency domain data set. The processor may further convert the inpainted seismic frequency domain data subset into an inpainted spatial domain data subset, and substitute the inpainted spatial domain data subset for the seismic model spatial domain data subset associated with the suspect region in the seismic model spatial domain data set associated with the given region.

Abstract: A system for monitoring marine vessels using a satellite network may include a plurality of satellite payloads to be carried by respective satellites. Each satellite payload may include a communications interface configured to communicate via the satellite network, a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and a controller cooperating with the communications interface and the RF transceiver. The controller may be configured to obtain automatic identification system (AIS) data including vessel position and call sign information via the RF transceiver, and communicate the AIS system data via the communications interface. The system may further include a terrestrial station configured to receive the AIS system data, receive social media data, and determine expected passenger lists for the marine vessels based upon the AIS data and social media data.