Harris Corporation

Joseph M Nemethy

Mark Donald Rahmes

Guillermo E Gutierrez

Todd E Ham

Jay Hackett

Robert M Garceau

Robert A Killam

Ophir Frieder

Kevin Lee Fox

Margaret M Knepper

Joseph A Venezia

Gregory J Cusick

Eric J Snowberg

David Monroe Bell

John D Karp

Michael Paul Zeitfuss

Ellery Y Chan

Mark E Boss

Thomas J Appolloni

John A Van Workum

David W Dubois

Shayan K Sarkar

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.

Geospatial image change detecting system and associated methods

A computer-implemented method for generating an image-textured digital surface model (DSM) for a geographical area of interest including both buildings and terrain may include using a computer to generate a digital elevation model (DEM) of both the buildings and terrain for the geographical area of interest. The method may further include providing a collection of optical images including oblique optical images for the geographical area of interest including both buildings and terrain. The computer may also be used to selectively superimpose oblique optical images from the collection of optical images onto the DEM of both the buildings and terrain for the geographical area of interest and to thereby generate the image-textured DSM for the geographical area of interest including both buildings and terrain.

Method and system for generating an image-textured digital surface model (DSM) for a geographical area of interest

A method and system for tracking an object by generating GPS coordinates for the object and a bearing associated with a movement of the object. The GPS coordinates include a latitude, a longitude, and an altitude, which are processed. The GPS coordinates can be processed to correlate the altitude of the object with an identifier that identifies a level within a structure. An icon representing the object then can be accurately located in a first view of a three dimensional model. An indicator can be associated with the icon to indicate the object's level, a bearing of the object, and/or the object's GPS coordinates. The object's GPS coordinates can be compared with a second object location to determine dispatch instructions. The object can be a person, a vehicle, watercraft or an aircraft.

System and method for highly accurate real time tracking and location in three dimensions

A method and system are disclosed for creating three-dimensional models in a graphics texture mapping system and are especially useful for creating three-dimensional urban models. A computer includes a graphics application program and an application programming interface. A single rectangular, composite building texture map is formed for each of a plurality of three-dimensional objects corresponding to individual buildings and have a reduced area of pixels within each composite building texture map as caused by rotating individual images. A site model clip map image contains each composite building texture map in a spatially correct position that has been expanded such that no overlap remains.

Texture mapping system used for creating three-dimensional urban models

An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).

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Melbourne, FL, United States of America

Joseph M Nemethy