Dr. Suresh Subramanian Profile

Dr. Suresh Subramanian

Fellow at Lockheed Martin Missiles and Fire Control

SPIE Involvement:

Author

Proceedings Article | 14 June 2023 Presentation + Paper

Calculating the 2D optics point spread function (PSF) using Zernike math model (ZMM) for sensor system performance analysis

Gary Vanstone, William Wan, Andrew Doares, Suresh Subramanian

Proceedings Volume 12533, 125330L (2023) https://doi.org/10.1117/12.2660203

KEYWORDS: Point spread functions, Zernike polynomials, Lens design, Systems modeling, Systems engineering, Modulation transfer functions, Mathematical modeling, Optical design, Sensor performance

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Electro-optics system engineers often require the 2D optical point spread function (PSF) to predict a sensor’s system level performance. The 2D PSF is used to compute metrics like detection range and signal to noise (SNR) at the target, or to develop a matched filter algorithm to improve detection performance. Lens designers generate the 2D optical PSF using optical design tools like CODE-V or Zemax. If the systems engineer needs the PSF data at different field angles, the lens designer has to generate those results again resulting in a cumbersome interaction between these two disciplines. The problem gets exacerbated when going from narrow field of view (NFOV) optics to wide field of view (WFOV) optics where there can be significant differences in the PSF between the on-axis and the off-axis case. This is particularly relevant in the cases of WFOV threat warning and situational awareness infrared sensors where the on-axis Airy-disk model of the PSF is no longer valid for the large off axis angles experienced in those sensors. This paper will present the Zernike Math Model (ZMM) approach to generate 2D optics PSF outside the lens design platform and move the analysis to a more common scientific/engineering tool that systems engineers use. Once an optical design is completed by the lens designer, its performance can be represented by a unique set of Zernike polynomial coefficients. The ZMM approach will only require the lens designer to provide this set of coefficients once, and the system engineer can then use these data to model the optical PSF performance on and off-axis, using standard engineering analysis tools such as MATLAB or Mathcad. Once the optical PSF is known, it can be transformed into the modulation transfer function (MTF) form and used to model sensor performance. Our approach simplifies the interaction between systems engineering and optical engineering disciplines in helping translate optical performance into system level sensor performance modeling.

Proceedings Article | 18 September 2000 Paper

Experimental and analytical characterization of the mechanical performance of disks

Suresh Subramanian, Ramesh Hariharan, Bernard Landa, Thomas Feist

Proceedings Volume 4090, (2000) https://doi.org/10.1117/12.399370

KEYWORDS: Data storage, Aluminum, Diffractive optical elements, Control systems, Laser Doppler velocimetry, Manufacturing, Finite element methods, Velocity measurements, Polymers, Analytical research

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Proceedings Article | 18 September 1998 Paper

Subpixel object detection using hyperspectral imaging for search and rescue operations

Suresh Subramanian, Nahum Gat

Proceedings Volume 3371, (1998) https://doi.org/10.1117/12.323840

KEYWORDS: Sensors, Target detection, Reflectivity, Hyperspectral imaging, Distance measurement, Synthetic aperture radar, Detection and tracking algorithms, Image sensors, CCD image sensors, Visualization

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Proceedings Article | 31 October 1997 Paper

Hyperspectral data preprocessing improves performance of classification algorithms

Suresh Subramanian, Nahum Gat, Jacob Barhen

Proceedings Volume 3118, (1997) https://doi.org/10.1117/12.283829

KEYWORDS: Principal component analysis, Image classification, Hyperspectral imaging, Neural networks, Sensors, Data modeling, Matrices, Absorption, Reflectivity, Image sensors

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Proceedings Article | 13 August 1997 Paper

Thermal Infrared Imaging Spectrometer (TIRIS) status report

Nahum Gat, Suresh Subramanian, Steve Ross, Clayton LaBaw, Jeff Bond

Proceedings Volume 3061, (1997) https://doi.org/10.1117/12.280346

KEYWORDS: Staring arrays, Sensors, Spectroscopy, Near field optics, Optical filters, Long wavelength infrared, Infrared spectroscopy, Telescopes, Clocks, Infrared imaging

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Proceedings Article | 4 August 1997 Paper

Methodology for hyperspectral image classification using novel neural network

Suresh Subramanian, Nahum Gat, Michael Sheffield, Jacob Barhen, Nikzad Toomarian

Proceedings Volume 3071, (1997) https://doi.org/10.1117/12.280589

KEYWORDS: Principal component analysis, Image classification, Hyperspectral imaging, Neural networks, Sensors, Matrices, Distance measurement, Sensor networks, Imaging systems, Data modeling

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Proceedings Article | 23 July 1997 Paper

Chemical detection using the airborne thermal infrared imaging spectrometer (TIRIS)

Nahum Gat, Suresh Subramanian, Jacob Barhen, Michael Sheffield, Hector Erives

Proceedings Volume 3082, (1997) https://doi.org/10.1117/12.280926

KEYWORDS: Sensors, Absorption, Spectroscopy, Infrared spectroscopy, Infrared imaging, FT-IR spectroscopy, Infrared signatures, Infrared radiation, Chemical detection, Inverse problems

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Proceedings Article | 26 February 1997 Paper

Spectral imaging applications: remote sensing, environmental monitoring, medicine, military operations, factory automation, and manufacturing

Nahum Gat, Suresh Subramanian, Jacob Barhen, Nikzad Toomarian

Proceedings Volume 2962, (1997) https://doi.org/10.1117/12.267840

KEYWORDS: Sensors, Imaging spectroscopy, Spectroscopy, Imaging systems, Signal processing, Manufacturing, Hyperspectral imaging, Staring arrays, Target detection, Remote sensing

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Showing 5 of 8 publications

Conference Committee Involvement (2)

Geospatial Informatics, Fusion, and Motion Video Analytics VI

19 April 2016 | Baltimore, MD, United States

Geospatial Informatics, Fusion, and Motion Video Analytics V

20 April 2015 | Baltimore, MD, United States

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