Dr. John N. Sanders-Reed
Technical Fellow at
SPIE Involvement:
Fellow status | Senior status | Conference Chair | Editor | Author | Instructor
Area of Expertise:
Enhanced Vision , Degraded Visual Environments , Tracking Systems , Videogrammetry
Profile Summary

Dr. Sanders-Reed holds a PhD in physics from Case Western Reserve University in Cleveland and an MBA from the Northeastern University High-Tech MBA program. He has worked at Picker X-ray (medical imaging), MIT Lincoln Laboratory, SVS Inc (start-up company eventually bought by Boeing), and is currently a Technical Fellow with The Boeing Company. He also teaches a one day course on motion analysis at MIT as part of a larger high speed imaging course.
His areas of expertise include advanced vision systems, in particular Distributed Aperture Sensor (DAS) enhanced and synthetic vision, and sensors and phenonmenology related to Degraded Visual Environments (DVE). He has also worked extensively in the areas of faint target detection, mutli-sensor, multi-target detection and tracking, multi-sensor triangulation, and video-grammetry. He is the developer of the Visual Fusion video-grammetry motion analysis software package.
Publications (24)

SPIE Conference Volume | July 23, 2018

PROCEEDINGS ARTICLE | May 2, 2018
Proc. SPIE. 10642, Degraded Environments: Sensing, Processing, and Display 2018
KEYWORDS: Long wavelength infrared, Mid-IR, Visible radiation, Visibility through fog, Signal attenuation, Mass attenuation coefficient, Atmospheric modeling, Visibility

SPIE Conference Volume | June 20, 2017

PROCEEDINGS ARTICLE | May 22, 2015
Proc. SPIE. 9467, Micro- and Nanotechnology Sensors, Systems, and Applications VII
KEYWORDS: Radar, Long wavelength infrared, Extremely high frequency, Fiber optic gyroscopes, Imaging systems, LIDAR, Sensors, Signal attenuation, Particles, Terahertz radiation

Showing 5 of 24 publications
Conference Committee Involvement (6)
Situation Awareness in Degraded Environments 2019
14 April 2019 | Baltimore, Maryland, United States
Situation Awareness in Degraded Environments 2018
17 April 2018 | Orlando, Florida, United States
Degraded Environments: Sensing, Processing, and Display 2017
11 April 2017 | Anaheim, California, United States
Degraded Visual Environments (DVE): Enhanced, Synthetic, and External Vision Solutions (ESXVS) 2016
19 April 2016 | Baltimore, Maryland, United States
Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2015
21 April 2015 | Baltimore, Maryland, United States
Showing 5 of 6 published special sections
Course Instructor
SC536: Image Based Motion Analysis
Image based motion analysis is a key technology that can be used to analyze missile flight performance, aircraft stores separation, aircraft safety and crash worthiness, ejection seat dynamics, artillery and small arms projectile performance and scoring, and explosive projectile distribution and velocity. Other applications include biological motion analysis and automotive crash test analysis. Imagery may be visible (standard or high speed), IR, or digitized film. This course describes techniques for extracting quantitative information from a time sequence of imagery. The primary focus is on position versus time of multiple objects, but intensity, separation distances, velocities, shape, angle of attack, and other features can be determined as well. The course covers basic single camera motion analysis, multiple camera three-dimensional motion analysis, rigid body 6 Degree Of Freedom analysis, and the use of non-image data (such as mount pointing data) to provide additional information during analysis. The course also provides a basic understanding of the image formation sequence from target radiance to image pixels, in order to understand how various effects in the image formation process may affect the final motion analysis results, and how these effects can be compensated for during analysis.
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