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Lars P Dyrud

from Manassas, VA
Age ~49
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Also known as:
Lars Peterson Dyrud, Lars D
Phone and address:
8216 Sunset Ct, Manassas, VA 20110
Related to:
Jeongok C Dyrud, 65Jack MacleanJohn LeanJohn P Dyrud, 57
Connected to:
Brian T Dyrud, 48Kristin Dyrud, 45Peter E Dyrud, 75Per E Dyrvik, 64Bruce Dys, 68Gail M Dysarczyk, 63Tracy E Dysarczyk, 56Ronald G Dysard, 52Donald S Dysart, 59Douglas D Dysart, 62

Lars Dyrud Phones & Addresses

  • 8216 Sunset Ct, Manassas, VA 20110
  • Great Falls, VA
  • Bristow, VA
  • Laurel, MD
  • 765 Snodgrass Rd, Crownsville, MD 21032 (703) 393-8953
  • Saint Paul, MN
  • Allston, MA
  • Amesbury, MA
  • Prince William, VA
  • 765 Snodgrass Rd, Crownsville, MD 21032

Resumes

Resumes

Lars Dyrud Photo 1

Senior Vice President Business Development

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Location:
55 Warwick Stone Way, Great Falls, VA 22066
Industry:
Information Services
Work:
Eagleview
Senior Vice President Business Development
Eagleview
Senior Vice President Machine Learning
Omniearth May 2014 - May 2017
Chief Executive Officer
Draper Laboratory Jun 2013 - Mar 2015
Head Earth and Space Science
The Johns Hopkins University Applied Physics Laboratory May 2011 - May 2013
Section Supervisor- Earth and Space Science Group
Education:
Boston University 1998 - 2003
University of Oslo (Uio) 1997 - 1998
Augsburg University 1992 - 1997
Boston University
Doctorates, Doctor of Philosophy Roseville Area High School
Skills:
Physics
Simulations
Science
Systems Engineering
Sensors
Space Systems
Signal Processing
Matlab
Aerospace
Remote Sensing
Fortran
Idl
Algorithms
Spacecraft
Mathematical Modeling
Numerical Analysis
Dod
Plasma Physics
Optics
Scientific Computing
Astronomy
Image Processing
Modeling
Scientific Writing
Latex
Radar
Software Engineering
Astrophysics
Scientific Programming
Experimentation
Python
Satellite
Spectroscopy
Uav
Computational Physics
Orbital Mechanics
Mathematica
Characterization
Nanotechnology
Monte Carlo Simulation
Optical Engineering
Digital Signal Processors
Security Clearance
System Design
Materials Science
Programming
Labview
National Security
Antennas
Numerical Simulation
Languages:
English
Norwegian
Lars Dyrud Photo 2

Lars Dyrud

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Location:
United States

Publications

Us Patents

Automated Pre-Processing Of Body-Mounted Magnetometer Data From Constellations Of Low Earth Orbit Satellites For Derivation Of Birkeland Current Signatures

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US Patent:
20130221951, Aug 29, 2013
Filed:
Apr 19, 2012
Appl. No.:
13/450851
Inventors:
Brian J. Anderson - Mt. Airy MD, US
Lars P. Dyrud - Crownsville MD, US
Jonathan T. Fentzke - Crownsville MD, US
Robin J. Barnes - Elkridge MD, US
Assignee:
THE JOHNS HOPKINS UNIVERSITY - Baltimore MD
International Classification:
G01B 7/14
G01R 33/00
US Classification:
32420711
Abstract:
A system, method and computer-readable medium for mapping magnetic activity for a current linking a planet's space environment to an ionosphere of the planet are disclosed. Magnetic field measurements of the current are obtained from a plurality of satellites orbiting the planet. A residual magnetic field is determined from the obtained magnetic field measurements. The determined residual magnetic field is arranged to create a time series for a selected location of a planet-centered coordinate system. The magnetic activity is mapped using the created time series for the selected location.

Systems And Methods For Utilizing Property Features From Images

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US Patent:
20230109409, Apr 6, 2023
Filed:
Jul 18, 2022
Appl. No.:
17/813091
Inventors:
- Arlington VA, US
Lars Dyrud - Crownsville MD, US
David Murr - Minneapolis MN, US
International Classification:
G06F 16/29
G06Q 50/16
G06N 3/02
G06F 16/583
G06N 3/04
G06V 20/10
Abstract:
A process for locating real estate parcels for a user comprises accessing a library of parceled real estate image data to identify objects and features in a plurality of parcels identified by the user as having a feature of interest. A predictive model is constructed and applied to a geographic region selected by the user to generate a customized output of real estate parcels predicted to have the feature of interest.

Systems And Methods For Automatic Estimation Of Object Characteristics From Digital Images

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US Patent:
20210264217, Aug 26, 2021
Filed:
Mar 5, 2021
Appl. No.:
17/193651
Inventors:
- Arlington VA, US
David Murr - Minneapolis MN, US
Lars P. Dyrud - Crownsville MD, US
International Classification:
G06K 9/62
G06N 3/08
G06F 16/51
G06F 16/583
G06N 3/04
Abstract:
Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.

System And Method For Predicting Well Site Production

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US Patent:
20210207455, Jul 8, 2021
Filed:
Jan 15, 2021
Appl. No.:
17/150632
Inventors:
- Arlington VA, US
Shadrian Strong - Bellevue WA, US
Kristin Lavigne - Lincoln MA, US
Lars Dyrud - Crownsville MD, US
Jonathan Fentzke - Arlington VA, US
International Classification:
E21B 43/00
Abstract:
Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Image Analysis Of Multiband Images Of Geographic Regions

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US Patent:
20210019344, Jan 21, 2021
Filed:
Aug 3, 2020
Appl. No.:
16/983449
Inventors:
- Arlington VA, US
Shadrian Strong - Bellevue WA, US
David Murr - Minneapolis MN, US
Lars Dyrud - Crownsville MD, US
International Classification:
G06F 16/583
G06K 9/00
G06K 9/46
G06K 9/62
G06F 16/51
G06F 16/58
G06F 16/29
Abstract:
Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.

System And Method For Predicting Crop Yield

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US Patent:
20200380617, Dec 3, 2020
Filed:
Jun 12, 2020
Appl. No.:
16/900087
Inventors:
- Arlington VA, US
Shadrian Strong - Bellevue WA, US
Kristin Lavigne - Lincoln MA, US
Lars P. Dyrud - Crownsville MD, US
Jonathan T. Fentzke - Arlington VA, US
International Classification:
G06Q 50/02
G06T 7/00
G01W 1/10
G06N 5/02
G06F 16/29
G06F 16/583
A01G 15/00
G06K 9/00
A01B 79/00
Abstract:
A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

System And Method For Predicting Well Site Production

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US Patent:
20190390535, Dec 26, 2019
Filed:
Aug 29, 2019
Appl. No.:
16/555973
Inventors:
- Arlington VA, US
Shadrian Strong - Catonsiville MD, US
Kristin Lavigne - Lincoln MA, US
Lars Dyrud - Crownsville MD, US
Jonathan Fentzke - Arlington VA, US
International Classification:
E21B 43/00
Abstract:
Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Image Analysis Of Multiband Images Of Geographic Regions

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US Patent:
20190236097, Aug 1, 2019
Filed:
Apr 8, 2019
Appl. No.:
16/377843
Inventors:
- Arlington VA, US
Shadrian Strong - Catonsville MD, US
David Murr - Minneapolis MN, US
Lars Dyrud - Crownsville MD, US
International Classification:
G06F 16/583
G06F 16/58
G06F 16/51
G06F 16/29
G06K 9/00
G06K 9/62
G06K 9/46
Abstract:
Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.
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Lars P Dyrud from Manassas, VA, age ~49 Get Report