Dr. Michael J. Duggin Profile

Dr. Michael J. Duggin

Senior Scientist

SPIE Involvement:

Author

Publications (24)

Proceedings Article | 26 August 2009 Paper

Multi-spectral image analysis for improved space object characterization

William Glass, Michael Duggin, Raymond Motes, Keith Bush, Meiling Klein

Proceedings Volume 7467, 74670K (2009) https://doi.org/10.1117/12.827421

KEYWORDS: Sensors, Satellites, Spatial resolution, Atmospheric optics, Signal detection, Optical sensors, Atmospheric sensing, Space sensors, Clouds, Image sensors

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Proceedings Article | 13 September 2007 Paper

Information enhancement, metrics, and data fusion in spectral and polarimetric images of natural scenes

Michael Duggin, William Glass, Elizabeth Cabot, David Bowers, David Wellems, Paul Alsing

Proceedings Volume 6682, 66820A (2007) https://doi.org/10.1117/12.737430

KEYWORDS: Cameras, Polarimetry, Calibration, Data acquisition, Image fusion, Zoom lenses, Reflectivity, Polarization, Sensors, Data fusion

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Proceedings Article | 10 September 2005 Paper

Data fusion: a consideration of metrics and the implications for polarimetric imagery

Michael Duggin, Mark Pugh

Proceedings Volume 5888, 588813 (2005) https://doi.org/10.1117/12.614553

KEYWORDS: Image fusion, Polarimetry, Data fusion, Image quality, Image analysis, Sensors, Image registration, Data acquisition, Algorithm development, Polarizers

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The increasing availability of multispectral, hyperspectral, and multisensor imagery during the past decade has motivated rapid growth in image fusion research for remote sensing application. While it is generally the goal of image fusion methods to obtain more information fiom the combination of multiple images than could be obtained from individual images, the measure of how well fused images actually achieve this goal is still largely subjective. Furthermore, in the selection of image data, and the analytical procedures to process this data, we make a sequence of implicit assumptions that need to be reviewed. Metrics are used to specify image characteristics necessary to perform specified tasks. New metrics are necessary to characterize the performance of image fusion techniques and also to determine the extent to which these techniques may provide more useful information than could be derived fiom non-fused imagery. Without metics, we cannot predict what data we need, or how to collect and to analyze it. There is currently no metric that encompasses both spatial and spectral resolution characteristics. A metric describing the quality of polarimetric imagery is an example of the larger problem of metrics required to specify the necessary characteristics of fused, multidimensional image data. Since polarimetric imagery is based upon the differences of image pairs obtained with the polarizer oriented orthogonally about the optic axis, misregistration introduces a false clutter that degrades information content of polarimetric imagery, so that a polarimetric image characteristic will depend upon registration accuracy. A General Image Quality Equation (GIQE) is a multivariate regression of the image quality metric against the independent imaging ammeters, such as registration in the case of polarimetric imagery. We need a General Image Quality Equation (GIQE) for polarimetric images in which one regression term describes misregistration. We need image quality metrics for polarimetric, multi-dimensional and fused multidimensional image data. In this paper we shall consider what metrics are needed to design and collect data, what general principles should guide the collection of analysis of data, and we shall consider polarimetric imagery as a simple example of a type of image fusion and analysis.

Proceedings Article | 15 July 2004 Paper

Factors controlling discrimination in imaging polarimetry

Michael Duggin

Proceedings Volume 5432, (2004) https://doi.org/10.1117/12.543952

KEYWORDS: Polarimetry, Sensors, Point spread functions, Polarizers, Target detection, Spatial resolution, Signal to noise ratio, Reflectivity, Calibration, Linear polarizers

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Proceedings Article | 15 July 2004 Paper

The impact of clutter variance on feature discrimination in imaging polarimetry

Michael Duggin, Elizabeth Cabot

Proceedings Volume 5432, (2004) https://doi.org/10.1117/12.543960

KEYWORDS: Polarimetry, Linear polarizers, Sun, Sensors, Cameras, Polarization, Data modeling, Calibration, Spatial resolution, Image analysis

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Proceedings Article | 15 July 2004 Paper

Factors controlling the manual and automated extraction of image information using imaging polarimetry

Michael Duggin

Proceedings Volume 5432, (2004) https://doi.org/10.1117/12.543961

KEYWORDS: Polarimetry, Image analysis, Sensors, Remote sensing, Target detection, Spatial resolution, Polarization, Image acquisition, Image processing, Calibration

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SPIE Journal Paper | 1 May 2002

Calibration and exploitation of a narrowband imaging polarimeter

Michael Duggin, Richard Loe

OE, Vol. 41, Issue 05, (May 2002) https://doi.org/10.1117/12.10.1117/1.1467935

KEYWORDS: Polarization, Calibration, Cameras, Polarimetry, Imaging systems, Polarizers, Vegetation, Optical filters, Sensors, Linear polarizers