Dr. Terrence S. Lomheim
Aerospace Fellow at The Aerospace Corporation
SPIE Involvement:
Education Committee | Fellow status | Conference Program Committee | Conference Chair | Author | Editor | Instructor
Area of Expertise:
CMOS Imagers , EO System performance modeling , CCD Imagers , Infrared focal planes , Hyperspectral Image Sensors , Sensor and focal plane noise modeling
Profile Summary

Dr. Terrence S. Lomheim, is an Aerospace Fellow in the Sensor Systems Subdivision of The Aerospace Corporation. For the past 39 years he has performed detailed experimental evaluations of the electro-optical properties, imaging capabilities, and radiation-effects sensitivities of infrared and visible focal plane devices, and has been involved in the development of modeling tools used to predict instrument-level performance for advanced DoD and NASA visible and infrared point-source and imaging sensor systems. Dr. Lomheim has authored and coauthored 65 publications in the areas of visible and infrared focal plane technology, sensor design and performance, and applied optics. He received the Ph.D. in Physics from the University of Southern California in 1978. He is a part-time instructor in the physics department at California State University, Dominguez Hills, and regularly teaches technical short courses for the International Society for Optical Engineering (SPIE) and for the UCSB and UCLA Extension programs. He is a Fellow of SPIE, the International Society for Optical Engineering. He a co-author of the book entitled, “CMOS/ CCD Sensors and Camera Systems, 2nd Edition”, published by JCD and the SPIE Press in 2011.
Publications (31)

PROCEEDINGS ARTICLE | September 7, 2011
Proc. SPIE. 8158, Imaging Spectrometry XVI
KEYWORDS: Staring arrays, Thermography, Sensors, Remote sensing, Photons, Diffusion, Near field, Modulation transfer functions, Systems modeling, Absorption


SPIE Journal Paper | June 1, 2010
JRS Vol. 4 Issue 01
KEYWORDS: Image resolution, Staring arrays, Imaging systems, Optical transfer functions, Image analysis, Sensors, Satellites, Image enhancement, Systems modeling, Image registration

SPIE Journal Paper | June 1, 2010
JRS Vol. 4 Issue 01
KEYWORDS: Sensors, Image quality, Signal to noise ratio, Reflectivity, Imaging systems, Sun, Image resolution, Image analysis, Modulation transfer functions, Spatial frequencies

PROCEEDINGS ARTICLE | August 21, 2009
Proc. SPIE. 7405, Instrumentation, Metrology, and Standards for Nanomanufacturing III
KEYWORDS: Confocal microscopy, Microscopes, Point spread functions, Imaging systems, Spatial frequencies, Sensors, Fourier transforms, Data acquisition, Objectives, Modulation transfer functions

PROCEEDINGS ARTICLE | August 21, 2009
Proc. SPIE. 7405, Instrumentation, Metrology, and Standards for Nanomanufacturing III
KEYWORDS: Signal to noise ratio, Confocal microscopy, Microscopes, CMOS sensors, Electronics, Imaging systems, Sensors, Metals, Diffusion, Modulation transfer functions

Showing 5 of 31 publications
Conference Committee Involvement (40)
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX
17 April 2018 | Orlando, Florida, United States
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII
11 April 2017 | Anaheim, California, United States
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII
19 April 2016 | Baltimore, Maryland, United States
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI
21 April 2015 | Baltimore, Maryland, United States
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV
6 May 2014 | Baltimore, Maryland, United States
Showing 5 of 40 published special sections
Course Instructor
SC194: Multispectral and Hyperspectral Image Sensors
This course will describe the imaging capabilities and applications of the principal types of multispectral (MS) and hyperspectral (HS) sensors. The focus will be on sensors that work in the visible, near-infrared and shortwave-infrared spectral regimes, but the course will touch on longwave-infrared applications. A summary of the salient features of classical color imaging (human observation) will also be provided in an appendix.
SC068: Use of CCD and CMOS Sensors in Visible Imaging Applications
This course will describe the imaging capabilities of visible sensors and illustrate their use with examples as varied as satellite imaging and commercial color scanning applications. The methodology for configuring and specifying a visible imaging system will be described, including the role of charge-coupled device (CCD), and complementary metal-oxide-silicon (CMOS) focal plane technologies.
SC503: Use of Visible and Infrared Sensors in Astronomy Applications
This course will describe the principles, imaging capabilities, and key technologies of visible and infrared image sensors and illustrate their use in ground and space-based astronomy applications. Ground-based and space-based astronomy instrument configurations will be described and analyzed to illustrate the interaction and optimization of the various image chain subsystems including the impact of the application of advanced sensor technologies.
SC557: Use of CCD and CMOS Sensors in Visible Imaging Applications
This course will describe the imaging capabilities of visible sensors and illustrate their use with examples as varied as a commercial color scanning Telecine application and multispectral satellite imaging. The methodology for configuring and specifying a visible imaging system will be described, including the role of charge-coupled device (CCD), and complementary metal-oxide-silicon (CMOS) focal plane technologies.
SC528: Color Imaging with Visible Image Sensors
This course describes the principles, key technologies, and applications of color imaging using visible image sensors (CCD, CMOS). It briefly overviews the theory of human color perception; discusses the relevant television-based standards which apply to broadcast color video signals; discuss the evolution of color CCD and CMOS camera architectures and associated analog and digital signal processing techniques including those used to process color-filter array video signals; overview imager technology basics for digital still camera applications, and review the MPEG compression standard for High Definition Television.
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