JAMES LYNN CONGER
Pilots at Marsh Dr, San Ramon, CA

7916947, Mar 29, 2011

Jul 1, 2009

12/496476

James L. Conger - San Ramon CA, US
Janice K. Lawson - Tracy CA, US
William D. Aimonetti - Livermore CA, US

Lawrence Livermore National Security, LLC - Livermore CA

G06K 9/00

382181, 382100, 382103, 382191, 356432, 356437, 2503385, 25033911

According to one embodiment, a method for analyzing hyperspectral data includes collecting first hyperspectral data of a scene using a hyperspectral imager during a no-gas period and analyzing the first hyperspectral data using one or more gas plume detection logics. The gas plume detection logic is executed using a low detection threshold, and detects each occurrence of an observed hyperspectral signature. The method also includes generating a histogram for all occurrences of each observed hyperspectral signature which is detected using the gas plume detection logic, and determining a probability of false alarm (PFA) for all occurrences of each observed hyperspectral signature based on the histogram. Possibly at some other time, the method includes collecting second hyperspectral data, and analyzing the second hyperspectral data using the one or more gas plume detection logics and the PFA to determine if any gas is present. Other systems and methods are also included.

8445838, May 21, 2013

Feb 4, 2009

12/365839

Jay V. Bixler - Lafayette CA, US
Timothy G. Brandt - Manteca CA, US
James L. Conger - San Ramon CA, US
Janice K. Lawson - Tracy CA, US

Lawrence Livermore National Security, LLC - Livermore CA

G01J 5/00, G01J 5/02

2502521, 25033901, 25033906, 348241, 348243, 348245

A method for generating a deselect mapping for a focal plane array according to one embodiment includes gathering a data set for a focal plane array when exposed to light or radiation from a first known target; analyzing the data set for determining which pixels or subpixels of the focal plane array to add to a deselect mapping; adding the pixels or subpixels to the deselect mapping based on the analysis; and storing the deselect mapping. A method for gathering data using a focal plane array according to another embodiment includes deselecting pixels or subpixels based on a deselect mapping; gathering a data set using pixels or subpixels in a focal plane array that are not deselected upon exposure thereof to light or radiation from a target of interest; and outputting the data set.

2013027, Oct 17, 2013

Feb 2, 2012

13/365198

James Lynn Conger - San Ramon CA, US

Lawrence Livermore National Security, LLC - Livermore CA

G06K 9/46

382191

A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a “corrected” multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.

2013027, Oct 17, 2013

Jan 19, 2012

13/353728

James Lynn Conger - San Ramon CA, US

Lawrence Livermore National Security, LLC - Livermore CA

G06K 9/62

382225

A method and system for clustering the pixels of a multispectral image is provided. A clustering system computes a maximum spectral similarity score for each pixel that indicates the similarity between that pixel and the most similar neighboring. To determine the maximum similarity score for a pixel, the clustering system generates a similarity score between that pixel and each of its neighboring pixels and then selects the similarity score that represents the highest similarity as the maximum similarity score. The clustering system may apply a filtering criterion based on the maximum similarity score so that pixels with similarity scores below a minimum threshold are not clustered. The clustering system changes the current pixel values of the pixels in a cluster based on an averaging of the original pixel values of the pixels in the cluster.

8165340, Apr 24, 2012

Oct 7, 2009

12/575269

James L. Conger - San Ramon CA, US
John R. Henderson - Castro Valley CA, US

Lawrence Livermore National Security, LLC - Livermore CA

G06K 9/00

382100, 356432, 356437, 2503361, 382181, 382276

According to one embodiment, a method comprises producing a first hyperspectral imaging (HSI) data cube of a location at a first time using data from a HSI sensor; producing a second HSI data cube of the same location at a second time using data from the HSI sensor; subtracting on a pixel-by-pixel basis the second HSI data cube from the first HSI data cube to produce a raw difference cube; calibrating the raw difference cube to produce a calibrated raw difference cube; selecting at least one desired spectral band based on a gas of interest; producing a detection image based on the at least one selected spectral band and the calibrated raw difference cube; examining the detection image to determine presence of the gas of interest; and outputting a result of the examination. Other methods, systems, and computer program products for detecting the presence of a gas are also described.