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Stephen D. Burks
Stephen D. Burks
US Army Night Vision and Electronic Sensors Directorate
Verified email at nvl.army.mil
Title
Cited by
Cited by
Year
Finite sampling corrected 3D noise with confidence intervals
DP Haefner, SD Burks
Applied Optics 54 (15), 4907-4915, 2015
242015
Noise estimation of an MTF measurement
DP Haefner, SD Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII 8355 …, 2012
232012
Characteristics of infrared imaging systems that benefit from superresolution reconstruction
K Krapels, RG Driggers, E Jacobs, S Burks, S Young
Applied optics 46 (21), 4594-4603, 2007
192007
An evaluation of fusion algorithms using image fusion metrics and human identification performance
C Howell, R Moore, S Burks, C Halford
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII 6543 …, 2007
192007
Modeling the blur associated with vibration and motion
R Vollmerhausen, MH Friedman, J Reynolds, S Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII 6543 …, 2007
172007
NVLabCAP: an NVESD-developed software tool to determine EO system performance
SD Burks, JM Doe, DP Haefner, BP Teaney
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV 9071 …, 2014
162014
Analysis of image quality for image fusion via monotonic correlation
LM Kaplan, SD Burks, RS Blum, RK Moore, Q Nguyen
IEEE Journal of Selected Topics in Signal Processing 3 (2), 222-235, 2009
162009
Custom component generation in the night vision integrated performance model
BP Teaney, DP Haefner, SD Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI 9452 …, 2015
122015
Color camera measurement and modeling for use in the Night Vision Integrated Performance Model (NV-IPM)
DP Haefner, JD Fanning, BP Teaney, SD Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV 9071 …, 2014
122014
Gstreamer as a framework for image processing applications in image fusion
SD Burks, JM Doe
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and …, 2011
122011
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality measures
C Wei, LM Kaplan, SD Burks, RS Blum
IEEE transactions on image processing 20 (2), 327-344, 2010
112010
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality measures
C Wei, LM Kaplan, SD Burks, RS Blum
IEEE transactions on image processing 20 (2), 327-344, 2010
112010
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality measures
C Wei, LM Kaplan, SD Burks, RS Blum
IEEE transactions on image processing 20 (2), 327-344, 2010
112010
Comparison of Fourier transform methods for calculating MTF
JD LaVeigne, SD Burks, B Nehring
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX 6941 …, 2008
92008
Signal intensity transfer function determination on thermal systems with stray light or scattering present
SD Burks, DP Haefner, TJ Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI 9452 …, 2015
82015
Characteristics of infrared imaging systems which benefit from super-resolution reconstruction
K Krapels, RG Driggers, E Jacobs, S Burks, S Young, G Holst
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII 6207 …, 2006
6*2006
Instrument for the measurement of normalized spectral response of cameras in the thermal bands
O Furxhi, DP Haefner, SD Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX 10625 …, 2018
42018
On the relationships between higher and lower bit-depth system measurements
SD Burks, DP Haefner, JM Doe
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX 10625 …, 2018
42018
Advanced trend removal in 3d noise calculation
SD Burks, Q Nguyen
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII 8355 …, 2012
42012
Improving MTF measurements of under-sampled optical systems
JD LaVeigne, SD Burks
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX 7300 …, 2009
42009
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