Abstract: System and method for analyzing multiple participants' eye-movements over a visual display to determine which features on the display universally attract the most attention, or are the most distracting.

Abstract: System and method for generating vehicle position fixes for an underwater vehicle based on images of a target object on the seafloor. The position of the target object is estimated based on a selected pixel on the target. For each image of the target, there is a different selected pixel, and a different uncertainty associated with the target location based on the selected pixel. Vehicle position fixes for the underwater vehicle are computed based on an analysis of the selected pixels for each target, the uncertainties of the selected pixel positions, the location and uncertainty of location of the vehicle collecting the pixel positions, and other information collected about the target.

Abstract: A computer-implemented method for automated data clustering and analysis. A computer takes a database having multiple entries and transforms the entries in the database into a set of intrinsic attributes for each entry. The computer then receives data defining one or more clustering trials to be run on the attributes from the entries in the database, each clustering trial being defined by a set of relevant intrinsic and extrinsic attributes. The computer automatically identifies the most significant intrinsic and/or extrinsic attributes of the entries being clustered for each clustering trial, and runs a clustering script to cluster the attributes in accordance with the significant attributes. The computer forms hierarchical linkages of the profiles and automatically calculates the cophenetic correlation coefficient for the linkages in each clustering trial.

Abstract: A computer based system and method for determining if a change detection sonar contact in change detection side scan sonar imagery matches a historical contact of the same geospatial location.

Abstract: A computer based system and method for real-time display of co-registered historical and current side scan sonar imagery during a side scan sonar survey. Embodiments also include modules for detection of clutter in the current imagery, identification of features, extraction of snippets, filtering based on predetermined size and shape parameters, and determination if a current feature is the same as a previously identified contact from historical imagery.

Abstract: A computer based system and method for real-time display of co-registered historical and current side scan sonar imagery during a side scan sonar survey. Embodiments also include modules for detection of clutter in the current imagery, identification of features, extraction of snippets, filtering based on predetermined size and shape parameters, and determination if a current feature is the same as a previously identified contact from historical imagery.

Abstract: A computer based system and method for real-time display of co-registered historical and current side scan sonar imagery during a side scan sonar survey. Embodiments also include modules for detection of clutter in the current imagery, identification of features, extraction of snippets, filtering based on predetermined size and shape parameters, and determination if a current feature is the same as a previously identified contact from historical imagery.

Abstract: A computer based system and method for real-time display of co-registered historical and current side scan sonar imagery during a side scan sonar survey. Embodiments also include modules for detection of clutter in the current imagery, identification of features, extraction of snippets, filtering based on predetermined size and shape parameters, and determination if a current feature is the same as a previously identified contact from historical imagery.

Abstract: A computer-implemented method for automated data clustering and analysis. A computer takes a database having multiple entries and transforms the entries in the database into a set of intrinsic attributes for each entry. The computer then receives data defining one or more clustering trials to be run on the attributes from the entries in the database, each clustering trial being defined by a set of relevant intrinsic and extrinsic attributes. The computer automatically identifies the most significant intrinsic and/or extrinsic attributes of the entries being clustered for each clustering trial, and runs a clustering script to cluster the attributes in accordance with the significant attributes. The computer forms hierarchical linkages of the profiles and automatically calculates the cophenetic correlation coefficient for the linkages in each clustering trial.

Abstract: A computer-implemented method, system, computer-readable medium, and apparatus for identifying a boundary of a cluster in a bitmap, the bitmap having at least one initially set bit, for applying an expansion shape to each of the initially set bits in the bitmap and identifying vertex bits on the boundary of the cluster formed by at least one expansion shape.

Abstract: A computer-implemented method, system, computer-readable medium, and apparatus for identifying a boundary of a cluster in a bitmap, the bitmap having at least one initially set bit, for applying an expansion shape to each of the initially set bits in the bitmap and identifying vertex bits on the boundary of the cluster formed by at least one expansion shape.

Abstract: A method, system, computer-readable medium, and apparatus for identifying a boundary of a cluster in a bitmap, the bitmap having at least one initially set bit, for applying an expansion shape to each of the initially set bits in the bitmap and identifying vertex bits on the boundary of the cluster formed by at least one expansion shape. A method system, computer-readable medium, and apparatus for identifying vertex bits in a bitmap having at least two adjacent bits with non-zero values forming a boundary of a cluster, the interior bits of the cluster having a zero value, including starting from a current non-zero bit, evaluating at least a first adjacent bit and a second adjacent bit, setting an adjacent non-zero bit as the new current bit, and identifying the current bit as a vertex bit if a direction of motion from the current bit to the new current bit changes.

Abstract: A computer based system and method for real-time display of co-registered historical and current side scan sonar imagery during a side scan sonar survey. Embodiments also include modules for detection of clutter in the current imagery, identification of features, extraction of snippets, filtering based on predetermined size and shape parameters, and determination if a current feature is the same as a previously identified contact from historical imagery.

Abstract: A computer-implemented process for smoothing and compression of data having an ordered list of points including a first point, a second point and a third point, each of the points being on the perimeter of a polygon. The method includes determining whether the triangle defined by line segments joining the first, second, and third points has a point of significance in its interior; and if no point of significance is present in the region, removing the second point of the ordered list of points.

Abstract: The moving map composer (MMC) is a device that allows a user to manipulate different sources of map data into a single map for presentation on a display. The MMC has an ability to extract a predetermined area of map coverage defined by sets of latitude and longitude points, or non-orthogonal areas of map coverage, the smallest of which is a segment. A bitmap is a representation of an available map coverage for a given area selected by a user having a “set”, or “1” bit to indicate a segment is present, and a “clear”, or “0” bit to indicate a segment is missing. The size of the bitmap is determined dynamically to assure a two-bit buffer zone of clear bits around a polygon's maximum extent. If the user selected polygon crosses one or more maps, the polygon is subdivided into several new polygons.