Dr. Joseph A. Shaw
Professor and Director at Montana State Univ
SPIE Involvement:
Awards Committee | Fellows Committee | Fellow status | Conference Chair | Conference Program Committee | Author | Editor | Instructor | Student Chapter Advisor
Area of Expertise:
Optical remote sensing system design , polarimetry , Radiometry and sensor calibration , spectral imaging , lidar , optical pheonomena in nature
Profile Summary

I joined the faculty at Montana State University in 2001 after spending 12 years at the National Oceanic and Atmospheric Administration (NOAA) research labs in Boulder, Colorado. I enjoy developing optical remote sensing systems and applying them to understanding the natural world. Photographing and understanding natural optical phenomena is another of my passions. I am a Fellow of SPIE and the OSA.
Publications (87)

Proc. SPIE. 10655, Polarization: Measurement, Analysis, and Remote Sensing XIII
KEYWORDS: Short wave infrared radiation, Polarization, Sensors, Calibration, Polarizers, Polarimetry, Clouds, Infrared radiation

Proc. SPIE. 10655, Polarization: Measurement, Analysis, and Remote Sensing XIII
KEYWORDS: Sun, Polarization, Imaging systems, Scattering, Cameras, Aerosols, Light scattering, Polarimetry, Clouds, Atmospheric particles

SPIE Journal Paper | March 13, 2018
JARS Vol. 12 Issue 01
KEYWORDS: Reflectivity, Calibration, Imaging systems, Vegetation, Resistance, Algorithm development, Agriculture, Light sources and illumination, Hyperspectral imaging, Light sources

SPIE Conference Volume | December 11, 2017

SPIE Conference Volume | November 21, 2017

PROCEEDINGS ARTICLE | September 6, 2017
Proc. SPIE. 10367, Light in Nature VI
KEYWORDS: Sun, Optical properties, Crystals, Photography, Clouds, Refraction, Crystal optics, Atmospheric optics

Showing 5 of 87 publications
Conference Committee Involvement (30)
Polarization Science and Remote Sensing IX
11 August 2019 | San Diego, California, United States
Light in Nature VII
11 August 2019 | San Diego, California, United States
Polarization: Measurement, Analysis, and Remote Sensing XIII
16 April 2018 | Orlando, Florida, United States
Polarization Science and Remote Sensing VIII
8 August 2017 | San Diego, California, United States
Light in Nature VI
7 August 2017 | San Diego, California, United States
Showing 5 of 30 published special sections
Course Instructor
SC789: Introduction to Optical and Infrared Sensor Systems
This course provides a broad introduction to optical (near UV-visible) and infrared sensor systems, with an emphasis on systems used in defense and security. Topics include both passive imagers and active laser radars (lidar/ladar). We begin with a discussion of radiometry and radiometric calculations to determine how much optical power is captured by a sensor system. We survey atmospheric propagation and phenomenology (absorption, emission, scattering, and turbulence) and explore how these issues affect sensor systems. Finally, we perform signal calculations that consider the source, the atmosphere, and the optical system and detector, to arrive at a signal-to-noise ratio for typical passive and active sensor systems. These principles of optical radiometry, atmospheric propagation, and optical detection are combined in examples of real sensors studied at the block-diagram level. Sensor system examples include passive infrared imagers, polarization imagers, and hyperspectral imaging spectrometers, and active laser radars (lidars or ladars) for sensing distributed or hard targets. The course organization is approximately one third on the radiometric analysis of sensor systems, one third on atmospheric phenomenology and detector parameters, and one third on example calculations and examination of sensor systems at the block-diagram level.
SC567: Introduction to Optical Remote Sensing Systems
This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications.
SC915: Radiometry Revealed
This course explains basic principles and applications of radiometry and photometry. A primary goal of the course is to reveal the logic, systematic order, and methodology behind what sometimes appears to be a confusing branch of optical science and engineering. Examples are taken from the ultraviolet through the long-wave infrared portions of the electromagnetic spectrum. Anyone who wants to answer questions such as, "how many watts or photons do I have?" or "how much optical energy or radiation do I need?" will benefit from taking this course.
SC1232: Introduction to LIDAR for Autonomous Vehicles
This course provides an introduction to the exciting and rapidly growing field of light detection and ranging (LIDAR) on autonomous vehicles. The rapid growth of new lasers and detectors, along with miniaturization of computers and high-speed data acquisition systems, is opening many new opportunities for LIDAR systems in applications that require smaller and more portable instruments. Since the invention of LIDAR in the 1960s, systems have evolved from large instruments mounted in unmovable laboratories or on trucks and trailers, to smaller and dramatically more portable instruments. This course reviews the basic principles that govern the design of any LIDAR system, emphasizing how these principles can be used to design and analyze small, portable LIDAR systems uniquely tailored to guiding and performing remote sensing measurements from autonomous vehicles on the road, in the air, and in the water.
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