Raytheon Company

Joseph C Landry

John J Coogan

Paul M Ingram, Jr

Paul D Shocklee

Jody Dale Verret

Corey J Collard

Thomas J Grabow

Systems, devices, methods, and computer-readable media for determining planarity in a 3D data set are provided. A method can include receiving or retrieving three-dimensional (3D) data of a geographical region, dividing the 3D data into first contiguous regions of specified first geographical dimensions, determining, for each first contiguous region of the first contiguous regions, respective measures of variation, identifying, based on the respective measures of variation, a search radius, dividing the 3D data into respective second contiguous or overlapping regions with dimensions the size of the identified search radius, and determining, based on the identified search radius, a planarity of each of the respective second contiguous or overlapping regions.

Determining minimum region for finding planar surfaces

A system for estimating a Lambertian equivalent reflectance for reflective band imagery is disclosed. In some embodiments, the system estimates an equivalent reflectance and performs atmospheric correction of reflective band imagery without user interaction and accounts for the effect of background reflectance mixing with individual target reflectances. Some of these embodiments use a dark pixel-based technique to improve the characterization of the atmosphere.

Methods and system for estimation of lambertian equivalent reflectance for reflective band imagery

A system and method for processing a daytime IR image to discriminate between solar glints and hotspots, where the latter represent man-made activity. Two spectrally distinct thermal wavelength bands are defined and respective spectral intensities are detected for a corresponding pixel in an image. A figure of merit is calculated as a function of the detected spectral intensities. The calculated figure of merit is compared to a predetermined rule to determine whether the corresponding pixel is a glint or a hotspot.

System and method for detecting daytime solar glint using multi-band mid-wave infrared imagery

In one example of a method for remote identifying a non-Lambertian target material, a spectral signature for a target is determined from each of at least two different sets of imagery acquired at different angles, and compared to a predicted signature for a candidate material for each of the at least two different angles. The predicted signatures take into account the known anisotropy of reflectance, and thus also radiance, of the candidate material.

Remote identification of non-lambertian materials

A computer implemented method and apparatus estimate background reflectance, aerosol type and visibility within a multispectral imagery using the measured spectral radiance of one or more calibration targets of known reflectance and the measured radiance of the background of the target. The computer implemented method and apparatus uses predefined aerosol types, characterized by a plurality of known parameters, and the known reflectance of the one or more calibration targets, to select an aerosol that best matches the measured radiances.

In-scene determination of aerosol parameters from imagery

In accordance with the present disclosure, a computer implemented system and method predicts the performance for a remote material identification process under real conditions and uncertainties. The method and system transforms data representing measured reflectance values for candidate materials based on environmental conditions, and uncertainties regarding the environmental conditions and/or calibration of sensors measuring radiance values into the performance predictions for a material identification process operating under those conditions and uncertainties. The performance predictions can be communicated to a designer of, for example, a multi-angle material identification system for use in selecting and setting up the system, or communicated to a consumer of images captured by the material identification system for use in interpreting results of application of the material identification process to real imagery acquired with remote sensors.

Growing community of inventors

Dallas, TX, United States of America

Joseph C Landry