Mr. Dale Linne von Berg Profile

Dale Linne von Berg

Head Applied Optics Branch at US Naval Research Lab

SPIE Involvement:

Editor | Author

Proceedings Article | 24 June 2014 Paper

Folded path LWIR system for SWAP constrained platforms

Erin Fleet, Michael Wilson, Dale Linne von Berg, Thomas Giallorenzi, Barry Mathieu

Proceedings Volume 9070, 907029 (2014) https://doi.org/10.1117/12.2050503

KEYWORDS: Mirrors, Sensors, Modulation transfer functions, Long wavelength infrared, Cameras, Geometrical optics, Imaging systems, Optical design, Aspheric lenses, Aluminum

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Proceedings Article | 13 May 2011 Paper

System considerations of aerial infrared imaging for wide-area persistent surveillance

Melvin Kruer, John Lee, Dale Linne von Berg, John Grant Howard, Jason Edelberg

Proceedings Volume 8014, 80140J (2011) https://doi.org/10.1117/12.887528

KEYWORDS: Sensors, Infrared imaging, Infrared sensors, Surveillance, Image sensors, Imaging systems, Mid-IR, Infrared radiation, Data acquisition, Staring arrays

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Proceedings Article | 24 April 2010 Paper

Multisensor airborne imagery collection and processing onboard small unmanned systems

Dale Linne von Berg, Scott Anderson, Alan Bird, Niel Holt, Melvin Kruer, Thomas Walls, Michael Wilson

Proceedings Volume 7668, 766807 (2010) https://doi.org/10.1117/12.850775

KEYWORDS: Sensors, High altitude reconnaissance, Inspection, Target detection, Image processing, Algorithm development, Image sensors, Synthetic aperture radar, Long wavelength infrared, Video

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Proceedings Article | 24 April 2010 Paper

Compact survey and inspection day/night image sensor suite for small unmanned aircraft systems (EyePod)

Alan Bird, Scott Anderson, Dale Linne von Berg, Morgan Davidson, Niel Holt, Melvin Kruer, Michael Wilson

Proceedings Volume 7668, 766809 (2010) https://doi.org/10.1117/12.850805

KEYWORDS: Sensors, Long wavelength infrared, Image sensors, Control systems, Imaging systems, Inspection, Cameras, High altitude reconnaissance, Electronics, Databases

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Proceedings Article | 24 April 2010 Paper

Use of compact synthetic aperture radar systems to assist with device detection and discrimination

Mark Jensen, Thomas Walls, Scott Anderson, Dale Linne von Berg, Niel Holt, Melvin Kruer, David Long, Michael Wilson

Proceedings Volume 7668, 766808 (2010) https://doi.org/10.1117/12.850802

KEYWORDS: Sensors, Synthetic aperture radar, L band, Target detection, X band, High altitude reconnaissance, Radar, Image enhancement, Image processing, Algorithm development

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Proceedings Article | 15 April 2008 Paper

DUSTER: demonstration of an integrated LWIR-VNIR-SAR imaging system

Michael Wilson, Dale Linne von Berg, Melvin Kruer, Niel Holt, Scott Anderson, David Long, Yuly Margulis

Proceedings Volume 6946, 694607 (2008) https://doi.org/10.1117/12.777984

KEYWORDS: Sensors, L band, Synthetic aperture radar, X band, Long wavelength infrared, Inspection, Unmanned aerial vehicles, Image acquisition, Infrared sensors, Imaging systems

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Proceedings Article | 1 June 2005 Paper

Extending application of spectral object signature transforms: background candidate assessment

Rulon Mayer, Frank Bucholtz, Eric Allman, Dale Linne von Berg, Mel Kruer

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.605821

KEYWORDS: Transform theory, Sensors, Vegetation, Roads, Image sensors, Infrared sensors, Imaging systems, Image analysis, Infrared imaging, Statistical analysis

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Previous studies introduced, examined, and tested a variety of registration-free transforms, specifically the diagonal, whitening/dewhitening, and target CV (Covariance) transforms. These transforms temporally evolve spectral object signatures under varying conditions using imagery of regions of similar objects and content distribution from data sets collected at two different times. The transformed object signature is then inserted into the matched filter to search for targets. Spatial registration of two areas and/or finding two suitable candidate regions for the transforms is often problematic. This study examines and finds that the average correlation coefficient between the corrected histograms of the multi-spectral image cube collected at two times can assess the similarity of the areas and predict object detection performance. This metric is applied in four distinctive situations and tested on three independently collected data sets. In one data set, the correlation between histograms was taken from an airborne long wave infrared sensor that imaged objects in Florida and tested on registered images modified by systematically eliminating opposed ends of the image set. The other data set examined images of objects in Yellowstone National Park from a visible/near IR multi-spectral sensor. This comparison was also applied to images collected using oblique angles (depression angle of 10^°) of objects placed at Webster Field in Maryland. Candidate heterogeneous image areas were compared to each other using the average correlation coefficient and inserted into statistical transforms. In addition the correlations were computed between corrected histograms based on the normalized difference vegetation index (NDVI). Similarly, the analysis is applied to data collected at oblique angles (10^° depression angle). The net signal to clutter ratio depends on the average correlation coefficient and has low p-values (p<0.05). All statistical transforms (diagonal, whitening/dewhitening, target CV) performed comparably using the various backgrounds and scenarios. Objects that are spectrally distinct from the backgrounds followed the average correlation coefficient more closely than objects whose spectral signatures contained background components. This study is the first to examine the similarity of the corrected histograms and does not exclude other approaches for comparing areas.

Proceedings Article | 10 May 2005 Paper

Control and display stations for simultaneous multiple dissimilar unmanned aerial vehicles

Dale Linne von Berg, Michael Duncan, John Howard, Melvin Kruer, John Lee

Proceedings Volume 5787, (2005) https://doi.org/10.1117/12.609629

KEYWORDS: Unmanned aerial vehicles, Control systems, Sensors, CAD systems, Infrared sensors, Video, Target detection, Computer aided design, Surveillance, Video surveillance

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Proceedings Article | 30 August 2004 Paper

Airborne net-centric multi-INT sensor control, display, fusion, and exploitation systems

Dale Linne von Berg, John Lee, Melvin Kruer, Michael Duncan, Fred Olchowski, Eric Allman, Grant Howard

Proceedings Volume 5409, (2004) https://doi.org/10.1117/12.554324

KEYWORDS: Sensors, Control systems, Target detection, Sensor fusion, Data fusion, Detection and tracking algorithms, Synthetic aperture radar, CAD systems, Infrared sensors, Electronic signals intelligence

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Proceedings Article | 8 August 2003 Paper

Demonstration of F-CAP TARPS-CD system with real-time airborne image exploitation

John Lee, Dale Linne von Berg, Melvin Kruer, Michael Duncan, Michael Colbert, Steve Frawley

Proceedings Volume 5109, (2003) https://doi.org/10.1117/12.501837

KEYWORDS: Reconnaissance, Reconnaissance systems, Cameras, Image segmentation, Imaging systems, Switches, Digital imaging, Digital cameras, Video, Zoom lenses

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Proceedings Article | 15 November 2002 Paper

SHARP prototype system demonstration program

Michael Duncan, Melvin Kruer, Dale Linne von Berg, Raymond Patten, John Lee

Proceedings Volume 4824, (2002) https://doi.org/10.1117/12.459698

KEYWORDS: Prototyping, Reconnaissance, Reconnaissance systems, Interfaces, Sensors, Cameras, Control systems, Image enhancement, Image compression, Imaging systems

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Proceedings Article | 21 December 2001 Paper

Rapid targeting in support of time-critical strike

Dale Linne von Berg

Proceedings Volume 4492, (2001) https://doi.org/10.1117/12.451126

KEYWORDS: Reconnaissance, Reconnaissance systems, Diode pumped solid state lasers, Binary data, Sensors, Weapons, Cameras, Infrared imaging, Databases, Airborne reconnaissance

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Proceedings Article | 5 November 1998 Paper

Image compression for airborne reconnaissance

Dale Linne von Berg, Melvin Kruer

Proceedings Volume 3431, (1998) https://doi.org/10.1117/12.330202

KEYWORDS: Image compression, Reconnaissance systems, Cameras, Imaging systems, Image quality standards, Sensors, Airborne reconnaissance, Reconnaissance, Standards development, Image quality

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Proceedings Article | 8 July 1998 Paper

Interaction of onboard transform-based lossy compression algorithms with EO/IR focal plane nonuniformity correction techniques

Dale Linne von Berg

Proceedings Volume 3389, (1998) https://doi.org/10.1117/12.316529

KEYWORDS: Image compression, Nonuniformity corrections, Sensors, Image processing, Image quality, Image sensors, Wavelets, Image quality standards, Algorithms, Visualization

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Showing 5 of 14 publications

SPIE Conference Volume | 24 June 2016

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XIII

SPIE Conference Volume | 18 June 2015

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII

SPIE Conference Volume | 18 June 2014

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI

SPIE Conference Volume | 14 June 2013

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X

SPIE Conference Volume | 6 June 2012

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX

Showing 5 of 6 publications

Conference Committee Involvement (7)

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XIII

18 April 2016 | Baltimore, MD, United States

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII

20 April 2015 | Baltimore, MD, United States

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XI

7 May 2014 | Baltimore, MD, United States

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X

1 May 2013 | Baltimore, Maryland, United States

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX

24 April 2012 | Baltimore, Maryland, United States

Showing 5 of 7 Conference Committees

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