Dr. Gary W. Kamerman
Chief Scientist at FastMetrix Industries, LLC
SPIE Involvement:
Conference Chair | Track Chair | Editor | Author | Instructor
Publications (19)

Proceedings Article | 20 September 2020 Presentation
Proc. SPIE. 11538, Electro-Optical Remote Sensing XIV

SPIE Journal Paper | 21 March 2017
OE Vol. 56 Issue 03
KEYWORDS: LIDAR, Active remote sensing, Electro optics, Stereoscopy, Sensors, Optical engineering, Aerospace engineering, Defense and security, Defense technologies, Environmental sensing

Proceedings Article | 1 June 2011 Paper
Proc. SPIE. 8037, Laser Radar Technology and Applications XVI
KEYWORDS: Target detection, Radar, Infrared sensors, Infrared imaging, Imaging systems, LIDAR, Sensors, Target recognition, Microwave radiation, Forward looking infrared

Proceedings Article | 3 November 2010 Paper
Proc. SPIE. 7835, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IV
KEYWORDS: Radar, Eye, Imaging systems, LIDAR, Sensors, Laser range finders, Optical coherence tomography, Synthetic aperture radar, Laser development, Carbon dioxide lasers

Proceedings Article | 4 May 2010 Paper
Proc. SPIE. 7684, Laser Radar Technology and Applications XV
KEYWORDS: Reflectors, Point spread functions, Mirrors, 3D acquisition, Imaging systems, LIDAR, Clouds, Modulation transfer functions, Spatial resolution, Contrast transfer function

Showing 5 of 19 publications
Proceedings Volume Editor (50)

SPIE Conference Volume | 6 October 2020

SPIE Conference Volume | 8 June 2020

SPIE Conference Volume | 21 November 2019

SPIE Conference Volume | 26 July 2019

SPIE Conference Volume | 16 November 2018

Showing 5 of 50 publications
Conference Committee Involvement (57)
Electro-Optical Remote Sensing XV
13 September 2021 | Madrid, Spain
Laser Radar Technology and Applications XXVI
11 April 2021 | Orlando, Florida, United States
Electro-Optical Remote Sensing XIV
21 September 2020 | Online Only, United Kingdom
Laser Radar Technology and Applications XXV
27 April 2020 | Online Only, California, United States
Electro-Optical Remote Sensing XIII
9 September 2019 | Strasbourg, France
Showing 5 of 57 Conference Committees
Course Instructor
SC1103: 3D Imaging Laser Radar
This course will explain the basic principles of operation and the fundamental theoretical basis of 3D imaging laser radar systems. An analytical approach to evaluation of system performance will be presented. The design and applications of 3D imaging laser radars which employ staring arrays and flying spot scanned architectures; linear, Geiger mode and heterodyne detection; pulse, amplitude, frequency and hybrid modulation formats; and advanced system architectures will be discussed. Optimization strategies and trade space boundaries will be described. Major system components will be identified and effects of the limitations of current component performance will be identified. These limitations will form the basis of a discussion of current research objectives.
SC167: Introduction to Laser Radar
This course explains the principles of operation and the basis of laser radar systems. An analytical approach to the evaluation of system performance is presented. This approach is derived from physical optics and from classical antenna theory. Practical applications for laser radar and alternative system architectures are described. Major system components are identified.
SC168: Advanced Laser Radar Design And Applications
This course identifies the procedures and the requirements for a comprehensive laser radar design and performance analysis. Using a detailed examination of the design process for military and industrial applications, the course covers system level requirements as applied to diversified applications, development, and the allocation of requirements for the major subsystems. Candidate system designs, trades space optimizations and compromises and component options are presented. Advanced Geiger-mode, waveform capture, heterodyne and homodyne detection systems, transmitter modulation techniques and compatible formats are emphasized. System architectures, subsystem approaches and component options are compared. Machine vision, 3-D imaging systems, unmanned vehicle sensors, atmospheric sensing, and chemical detection systems are used to illustrate the design techniques.
SIGN IN TO:
  • View contact details

UPDATE YOUR PROFILE
Is this your profile? Update it now.
Don’t have a profile and want one?

Advertisement
Advertisement
Back to Top