Dr. Brian H. Miles Profile

Dr. Brian H. Miles

at OSC

SPIE Involvement:

Author | Instructor

Proceedings Article | 4 May 2010 Paper

Product chain analysis of three-dimensional imaging laser radar systems employing Geiger-mode avalanche photodiodes

Norman Lopez, Robin Burton, Gary Kamerman, Brian Miles, Wayne Crouch

Proceedings Volume 7684, 76840A (2010) https://doi.org/10.1117/12.854702

KEYWORDS: LIDAR, Clouds, Sensors, Laser systems engineering, Imaging systems, Photons, Pulsed laser operation, Stereoscopy, Visualization, 3D image processing

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Proceedings Article | 4 May 2010 Paper

Calibration targets and standards for 3D lidar systems

Brian Miles, Gary Kamerman, Donald Fronek, Paul Eadon

Proceedings Volume 7684, 76840F (2010) https://doi.org/10.1117/12.854700

KEYWORDS: Point spread functions, Modulation transfer functions, LIDAR, Reflectors, 3D acquisition, Contrast transfer function, Imaging systems, Spatial resolution, Clouds, Mirrors

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Proceedings Article | 19 May 2005 Paper

Statistical analysis and ground-based testing of the on-orbit Space Shuttle damage detection sensors

Brian Miles, Elizabeth Tanner, John Carter, Gary Kamerman, Robert Schwartz

Proceedings Volume 5791, (2005) https://doi.org/10.1117/12.609688

KEYWORDS: Statistical analysis, Sensors, Image analysis, Palladium, LIDAR, Image sensors, Error analysis, Damage detection, Light sources and illumination, Imaging systems

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The loss of Space Shuttle Columbia and her crew led to the creation of the Columbia Accident Investigation Board (CAIB), which concluded that a piece of external fuel tank insulating foam impacted the Shuttle’s wing leading edge. The foam created a hole in the reinforced carbon/carbon (RCC) insulating material which gravely compromised the Shuttle’s thermal protection system (TPS). In response to the CAIB recommendation, the upcoming Return to Flight Shuttle Mission (STS-114) NASA will include a Shuttle deployed sensor suite which, among other sensors, will include two laser sensing systems, Sandia National Lab’s Laser Dynamic Range Imager (LDRI) and Neptec’s Laser Camera System (LCS) to collect 3-D imagery of the Shuttle’s exterior. Herein is described a ground-based statistical testing procedure that will be used by NASA as part of a damage detection performance assessment studying the performance of each of the two laser radar systems in detecting and identifying impact damage to the Shuttle. A statistical framework based on binomial and Bayesian statistics is used to describe the probability of detection and associated statistical confidence. A mock-up of a section of Shuttle wing RCC with interchangeable panels includes a random pattern of 1/4” and 1” diameter holes on the simulated RCC panels and is cataloged prior to double-blind testing. A team of ladar sensor operators will acquire laser radar imagery of the wing mock-up using a robotic platform in a laboratory at Johnson Space Center to execute linear image scans of the wing mock-up. The test matrix will vary robotic platform motion to simulate boom wobble and alter lighting and background conditions at the 6.5 foot and 10 foot sensor-wing stand-off distances to be used on orbit. A separate team of image analysts will process and review the data and characterize and record the damage that is found. A suite of software programs has been developed to support hole location definition, damage disposition recording, statistical data analysis and results presentation. The result of the statistical analysis will provide a quantitative indication of the laboratory performance of the ladar systems in the role of through hole damage detection.

Proceedings Article | 13 September 2004 Paper

A 32x32 pixel FLASH laser radar system incorporating InGaAs PIN and APD detectors

John Dries, Brian Miles, Roger Stettner

Proceedings Volume 5412, (2004) https://doi.org/10.1117/12.542609

KEYWORDS: Avalanche photodetectors, Sensors, Readout integrated circuits, Indium gallium arsenide, LIDAR, Pulsed laser operation, Stereoscopy, Capacitance, Staring arrays, 3D acquisition

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Proceedings Article | 15 July 2004 Paper

Nonscanning computed tomography imaging spectropolarimeter (NS-CTISP): design and calibration

Brian Miles, Bogie Kim

Proceedings Volume 5432, (2004) https://doi.org/10.1117/12.548213

KEYWORDS: Calibration, Polarization, Polarimetry, Diffraction, Computed tomography, Reconstruction algorithms, Matrices, Polarization analysis, Data acquisition, Error analysis

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Proceedings Article | 29 July 2002 Paper

Field-testing protocols for evaluation of 3D imaging focal plane array ladar systems

Brian Miles, Jay Land, Andrew Hoffman, William Humbert, Brian Smith, Andrew Howard, Joseph Cox, Michael Foster, Dave Onuffer, Sammie Thompson, Thomas Ramrath, Clarke Harris, Paul Freedman

Proceedings Volume 4723, (2002) https://doi.org/10.1117/12.476413

KEYWORDS: LIDAR, Staring arrays, Image resolution, Imaging systems, Sensors, Modulation transfer functions, Reflectivity, Optical filtering, Camouflage, Stereoscopy

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Proceedings Article | 19 September 2001 Paper

Three-Dimensional Imaging Sensors program

Mark Browder, Bruno Evans, Jeffrey Beck, Michael Blessinger, Wolfram Blattner, Richard LeBlanc, Brian Miles

Proceedings Volume 4377, (2001) https://doi.org/10.1117/12.440127

KEYWORDS: Sensors, Signal processing, Avalanche photodetectors, Staring arrays, Readout integrated circuits, LIDAR, Capacitors, 3D image processing, Signal detection, Performance modeling

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Proceedings Article | 27 October 1999 Paper

Computed-tomography imaging spectropolarimeter (CTISP): instrument design, operation, and results

Brian Miles, Ricky Goodson, Eustace Dereniak, Michael Descour

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366280

KEYWORDS: Polarization, Calibration, Diffraction, Polarimetry, Spectroscopy, Staring arrays, Computer generated holography, Data acquisition, Matrices, Spectral resolution

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A complete Stokes imaging spectropolarimeter has been designed, constructed and tested by researchers at the U.S. Army Engineer Research and Development Center (USAERDC) in collaboration with researchers at the University of Arizona's Optical Sciences Center. CTISP is a polarimetric extension to CTIS, developed by the authors associated with the Optical Sciences Center. Currently, CTISP characterizes an object's spectropolarimetric radiance over the 440 to 740 nm range using 20 nm spectral bins and subdividing the FOV with a 32 X 32 resolution. CTISP's output is a four-fold increase in object cube information when compared to spectral radiance alone as CTISP effectively extracts the polarization information from the radiance of each of the 'N' voxels to form 'N' 4 element Stokes vectors, where N equals (# horizontal resolution elements in FOV)*(# vertical resolution elements in FOV)*(# of wavelength bands). Voxel polarization calibration is performed using a fully computer automated spectropolarimetric calibration facility. The facility generates an object whose spatial and spectral dimensions define a voxel and whose radiance is purely polarized. CTISP's response to each generated polarized voxel is recorded and used to calculate a polarization characteristic matrix (PCM) for each voxel. CTISP utilizes four polarization analyzers in an automated rotating filter wheel configuration to acquire four images of the object. The results from the image reconstructions behind four analyzers are utilized with the PCMs to estimate the Stokes vector for each voxel in the object cube. CTISP utilizes a host of software tools to control the calibration facility, perform image acquisition and perform reconstruction and Stokes vector calculation. The order of use and inter-relation of these tools is described. Results will be presented and indicate that CTISP is capable of reconstructing objects containing complex spectral, spatial and polarization content. A spectral comparison is made to a reference spectrometer using a reflectance standard for normalization.

Proceedings Article | 25 October 1999 Paper

Computed-tomography imaging spectropolarimeter (CTISP): instrument concept, calibration, and results

Brian Miles, Ricky Goodson, Eustace Dereniak, Michael Descour

Proceedings Volume 3754, (1999) https://doi.org/10.1117/12.366333

KEYWORDS: Polarization, Calibration, Polarimetry, Staring arrays, Linear polarizers, Spectroscopy, Diffraction, Polarizers, Digital Light Processing, Mining

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Proceedings Article | 8 December 1992 Paper

Polarization-based active/passive scanning system for minefield detection

Brian Miles, Ernesto Cespedes, Ricky Goodson

Proceedings Volume 1747, (1992) https://doi.org/10.1117/12.138831

KEYWORDS: Polarization, Reflectivity, Land mines, Sensors, Fourier transforms, Mining, Remote sensing, Scanners, Thermography, Clouds

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Showing 5 of 10 publications

Conference Committee Involvement (2)

Polarization: Measurement, Analysis, and Remote Sensing VI

15 April 2004 | Orlando, Florida, United States

Laser Radar Technology and Applications IX

14 April 2004 | Orlando, Florida, United States

Course Instructor

SC180: Imaging Polarimetry

This course covers imaging polarimeters from an instrumentation-design point of view. Basic polarization elements for the visible, mid-wave infrared, and long-wave infrared are described in terms of Mueller matrices and the Poincaré sphere. Polarization parameters such as the degree of polarization (DOP), the degree of linear polarization (DOLP) and the degree of circular polarization (DOCP) are explained in an imaging context. Emphasis is on imaging systems designed to detect polarized light in a 2-D image format. System concepts are discussed using a Stokes-parameter (s0,s1,s2,s3) image. Imaging-polarimeter systems design, pixel registration, and signal to noise ratios are explored. Temporal artifacts, characterization and calibration techniques are defined.

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