Search

Kathleen M Minear

from Indialantic, FL
Age ~69

Kathleen Minear Phones & Addresses

  • 1281 Tropicana Ave, Palm Bay, FL 32905 (321) 984-0029
  • Indialantic, FL
  • East Providence, RI
  • Tampa, FL
  • 1281 Tropicana Rd NE, Palm Bay, FL 32905 (321) 984-0029

Interests

reference requests, getting back in touch

Emails

Industries

Defense & Space

Resumes

Resumes

Kathleen Minear Photo 1

Senior Mathematician At Harris Corporation

View page
Location:
Melbourne, Florida Area
Industry:
Defense & Space
Experience:
Harris Corporation (Public Company; 10,001+ employees; HRS; Defense & Space industry): Senior Mathematician,  (-) 

Business Records

Name / Title
Company / Classification
Phones & Addresses
Kathleen M. Minear
Director
Specialized Arrays, Inc
Business Consulting Services · Business Consulting Services Noncommercial Research Organization Engineering Services · Business Consulting, Nec, Nsk
1281 Tropicana Rd NE, Melbourne, FL 32905
200 Ocean Ave, Melbourne, FL 32951
(321) 345-5665, (321) 795-1717

Publications

Us Patents

Compensation Of Beamforming Errors In A Communications System Having Widely Spaced Antenna Elements

View page
US Patent:
7969358, Jun 28, 2011
Filed:
Nov 19, 2008
Appl. No.:
12/273760
Inventors:
G. Patrick Martin - Merritt Island FL, US
Kathleen Minear - Palm Bay FL, US
John Roach - Indialantic FL, US
Allan V. Dianic - Melbourne FL, US
Lynda Margaret Ralston - West Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
H01Q 3/26
H01Q 3/34
US Classification:
342368, 342376, 342377
Abstract:
Systems and methods for operating a communications system. The methods involve computing one or more complex weights to be applied to transmit signals and receive signals by beamformers. The complex weights are based at least on configuration data for the communications system. The methods also involve applying a first plurality of weight corrections to the complex weights based on phasing errors occurring in a communication path inclusive of a control system and antenna elements. The methods further involve applying a second plurality of weight corrections to the complex weights based on phase differences at the antenna elements relative to a reference location for the receive signals.

Systems And Methods For Compensating For Transmission Phasing Errors In A Communications System Using A Receive Signal

View page
US Patent:
7970365, Jun 28, 2011
Filed:
Nov 19, 2008
Appl. No.:
12/273935
Inventors:
G. Patrick Martin - Merritt Island FL, US
Kathleen Minear - Palm Bay FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
H04B 1/04
H04B 7/00
H04B 7/24
H04B 7/26
US Classification:
455129, 455272, 342350
Abstract:
A method for correcting transmission phasing errors in an plurality of antenna elements is provided. The method includes receiving at least a first signal having a first frequency at the plurality of antenna elements at an angle of arrival (AOA). The method also includes identifying an actual fractional wavelength value (f) for the first signal received with respect to a reference location for at least one of the plurality of antenna elements, obtaining a estimated phase propagation of the first signal at the one of the plurality of antenna elements relative to the reference location based at least on configuration data for plurality of antenna elements, and updating the configuration data associated with the AOA for the one of the plurality of antenna elements based on the estimated phase propagation and f.

Image Registration Using Rotation Tolerant Correlation Method

View page
US Patent:
8155452, Apr 10, 2012
Filed:
Oct 8, 2008
Appl. No.:
12/247603
Inventors:
Kathleen Minear - Palm Bay FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/68
US Classification:
382218, 382181, 382209
Abstract:
A method for correlating or finding similarity between two data sets. The method can be used for correlating two images with common scene content in order to find correspondence points between the data sets. These correspondence points then can be used to find the transformation parameters which when applied to image 2 brings it into alignment with image 1. The correlation metric has been found to be invariant under image rotation and when applied to corresponding areas of a reference and target image, creates a correlation surface superior to phase and norm cross correlation with respect to the correlation peak to correlation surface ratio. The correlation metric was also found to be superior when correlating data from different sensor types such as from SAR and EO sensors. This correlation method can also be applied to data sets other than image data including signal data.

Fusion Of A 2D Electro-Optical Image And 3D Point Cloud Data For Scene Interpretation And Registration Performance Assessment

View page
US Patent:
8179393, May 15, 2012
Filed:
Feb 13, 2009
Appl. No.:
12/371186
Inventors:
Kathleen Minear - Palm Bay FL, US
Donald Pooley - Melbourne FL, US
Anthony O'Neil Smith - Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06T 15/00
US Classification:
345419, 345422, 345619, 345642, 382154, 382190, 382291, 382294, 715851
Abstract:
Method and system for combining a 2D image with a 3D point cloud for improved visualization of a common scene as well as interpretation of the success of the registration process. The resulting fused data contains the combined information from the original 3D point cloud and the information from the 2D image. The original 3D point cloud data is color coded in accordance with a color map tagging process. By fusing data from different sensors, the resulting scene has several useful attributes relating to battle space awareness, target identification, change detection within a rendered scene, and determination of registration success.

Registration Of 3D Point Cloud Data To 2D Electro-Optical Image Data

View page
US Patent:
8290305, Oct 16, 2012
Filed:
Feb 13, 2009
Appl. No.:
12/371436
Inventors:
Kathleen Minear - Palm Bay FL, US
Anthony O'Neil Smith - Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/32
US Classification:
382294, 345629, 348580, 700 57
Abstract:
Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list. Finally, a transformation is determined that minimizes the error between a plurality of the correspondence point sets contained in the point set list.

Method For Visualization Of Point Cloud Data

View page
US Patent:
20090231327, Sep 17, 2009
Filed:
Mar 12, 2008
Appl. No.:
12/046880
Inventors:
Kathleen Minear - Palm Bay FL, US
Steven G. Blask - Melbourne FL, US
Katie Gluvna - Palm Bay FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06T 15/00
US Classification:
345419
Abstract:
Method for providing a color representation of three-dimensional range data () for improved visualization and interpretation. The method also includes selectively determining respective values of the hue (), saturation (), and intensity () in accordance with a color map (FIG. ) for mapping the hue, saturation, and intensity to an altitude coordinate of the three-dimensional range data. The color map is defined so that values for the saturation and the intensity have a first peak value at a first predetermined altitude approximately corresponding to an upper height limit () of a predetermined target height range (). Values defined for the saturation and the intensity have a second peak at a second predetermined altitude () corresponding to an approximate anticipated height of tree tops within a natural scene.

Registration Of 3D Point Cloud Data Using Eigenanalysis

View page
US Patent:
20090232355, Sep 17, 2009
Filed:
Mar 12, 2008
Appl. No.:
12/047066
Inventors:
Kathleen Minear - Palm Bay FL, US
Steven G. Blask - Melbourne FL, US
Katie Gluvna - Palm Bay FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
Method () for registration of n frames 3D point cloud data. Frame pairs () are selected from among the n frames and sub-volumes () within each frame are defined. Qualifying sub-volumes are identified in which the 3D point cloud data has a blob-like structure. A location of a centroid associated with each of the blob-like objects is also determined. Correspondence points between frame pairs are determined using the locations of the centroids in corresponding sub-volumes of different frames. Thereafter, the correspondence points are used to simultaneously calculate for all n frames, global translation and rotation vectors for registering all points in each frame. Data points in the n frames are then transformed using the global translation and rotation vectors to provide a set of n coarsely adjusted frames.

Registration Of 3D Point Cloud Data By Creation Of Filtered Density Images

View page
US Patent:
20090232388, Sep 17, 2009
Filed:
Mar 12, 2008
Appl. No.:
12/046862
Inventors:
Kathleen Minear - Palm Bay FL, US
Steven G. Blask - Melbourne FL, US
International Classification:
G06K 9/00
US Classification:
382154
Abstract:
Method () for registration of two or more of frames of three dimensional (3D) point cloud data (-i, -j). A density image for each of the first frame (frame i) and the second frame (frame j) is used to obtain the translation between the images and thus image-to-image point correspondence. Correspondence for each adjacent frame is determined using correlation of the ‘filtered density’ images. The translation vector or vectors are used to perform a coarse registration of the 3D point cloud data in one or more of the XY plane and the Z direction. The method also includes a fine registration process applied to the 3D point cloud data (-i, -j). Corresponding transformations between frames (not just adjacent frames) are accumulated and used in a ‘global’ optimization routine that seeks to find the best translation, rotation, and scale parameters that satisfy all frame displacements.
Kathleen M Minear from Indialantic, FL, age ~69 Get Report