Harris Corporation

Michael McGonagle

Mark Donald Rahmes

J Harlan Yates

Timothy B Faulkner

Robert Haden

Rufus Williams

Systems () and methods () for efficient comparative non-spatial image data analysis. The methods involve ranking a plurality of non-spatial images () based on at least one first attribute thereof; generating a screen page (-) comprising an array () defined by a plurality of cells () in which at least a portion of the non-spatial images are simultaneously presented; and displaying the screen page in a first GUI window () of a display screen. Each cell comprises only one non-spatial image. The non-spatial images are presented in an order defined by the ranking thereof.

Systems and methods for efficient comparative non-spatial image data analysis

Systems () and methods () for efficiently and accurately detecting changes in feature data. The methods generally involve: determining first vectors for first features extracted from a first image using pixel information associated therewith; comparing the first vectors with second vectors defined by spatial feature data; classifying the first features into a plurality of classes based on the results of the vector comparisons; and analyzing the first image to determine if any one of the first features of at least one of the plurality of classes indicates that a relevant change has occurred in relation to an object represented thereby.

Systems and methods for efficiently and accurately detecting changes in spatial feature data

Systems () and methods () for efficient feature data analysis. The methods involve: determining a first number of screen pages needed to verify that each of a plurality of clusters of detected features comprises only detected features which were correctly identified during feature extraction/detection operations as being of the same feature class as a selected feature of an image; determining a second number of screen pages needed to verify that each of a plurality of singular detected features was correctly identified during the feature extraction/detection operations as being of the same feature class as the selected feature of the image; selecting one of a plurality of different validation processes based on values of the first number of screen pages and the second number of screen pages; and performing the selected validation process to verify that each of the detected features does not constitute a false positive.

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Melbourne, FL, United States of America

Michael McGonagle