Harris Corporation

Jay Hackett

Mark Donald Rahmes

Guillermo E Gutierrez

Joseph M Nemethy

Todd E Ham

Robert M Garceau

Timothy B Faulkner

Morteza Akbari

John T Cameron

Method for identifying objects within a three-dimensional point cloud data set. The method includes a fractal analysis () on a data set where the data set is comprised of data points () having positions distributed in three-dimensions. The fractal analysis facilitates identification of one or more object classes. The object class specifies a category of physical object. A phase congruency analysis () is then performed on the data set based on the object class identified by the fractal analysis. The phase congruency analysis is advantageously performed on an interpolated, noise reduced version of the data set (which can be obtained prior to performing the phase congruency analysis). Upon completion of the phase congruency analysis, a further object identifying step is performed based on the phase congruency analysis.

Method for 3D object identification and pose detection using phase congruency and fractal analysis

An environmental condition detecting system may include an image processor cooperating with a database for generating a reference geospatial image corresponding to the collected geospatial image, a change detector cooperating with the image processor for detecting a change between the collected geospatial image and the reference geospatial image, and an environmental condition detector. The environmental condition detector may cooperate with the change detector for detecting the at least one environmental condition associated with the collected geospatial image based upon the change between the collected geospatial image and the reference geospatial image. The at least one environmental condition may include at least one weather condition, such as, for example, at least one of image obscuration and surface reflectivity. The at least one environmental condition may additionally or alternatively include at least one of a time of day and a time of year.

Environmental condition detecting system using geospatial images and associated methods

An accuracy enhancing system may include an image processor cooperating with a database for generating a reference geospatial image corresponding to the collected geospatial image, a change detector cooperating with the image processor for detecting a change between the collected geospatial image and the reference geospatial image, and an accuracy enhancer. The accuracy enhancer may cooperate with the change detector for generating at least one enhanced accuracy value corresponding to the at least one geospatial collection value based upon the change detected between the collected geospatial image and the reference geospatial image. The airborne platform may traverse an actual flight path based upon a planned flight path, and the image processor may generate the reference geospatial image based upon a desired match with the collected geospatial image. The at least one geospatial collection value may be a geospatial collection sensor position, a geospatial collection sensor orientation or a geospatial collection sensor field-of-view.

Accuracy enhancing system for geospatial collection value of an image sensor aboard an airborne platform and associated methods

An image change detecting system may include an image processor cooperating with the database for generating a reference geospatial image corresponding to the collected geospatial image, an image enhancer for enhancing at least one of the reference geospatial image and the collected geospatial image based upon at least one environmental condition, and a change detector cooperating with the image processor and the image enhancer. The change detector may detect a change between the collected geospatial image and the reference geospatial image with at least one thereof enhanced by the image enhancer based upon the at least one environmental condition. The environmental condition may include a weather condition, a time of day, or a time of year. The environmental condition may be typically associated with the collected geospatial image.

Geospatial image change detecting system with environmental enhancement and associated methods

An image change detecting system may include an image processor cooperating with a geospatial scene model database for generating a reference geospatial image corresponding to the collected geospatial image, and a change detector cooperating with the image processor for detecting a change between the collected geospatial image and the reference geospatial image. The geospatial scene model database may include 3D scene model data, and the collected geospatial image and the reference geospatial image may each include respective 2D image data. The collected geospatial image may have at least one geospatial collection value associated therewith, and the image processor may generate the reference geospatial image based upon synthetically positioning a virtual geospatial image sensor within a geospatial scene model based upon the at least one geospatial collection value. The at least one geospatial collection value may include at least one of a geospatial collection position, a geospatial collection orientation, and a geospatial collection field-of-view.

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Melbourne, FL, United States of America

Jay Hackett