Dr. Michael E. Winter Profile

Dr. Michael E. Winter

Post-Doctoral Researcher

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Author

Publications (27)

Proceedings Article | 13 June 2014 Paper

Evaluation of a procedure for compressing hyperspectral data

Michael Winter, Edwin Winter

Proceedings Volume 9088, 908805 (2014) https://doi.org/10.1117/12.2050776

KEYWORDS: Image compression, Wavelets, Detection and tracking algorithms, Sensors, Algorithm development, Target detection, Data compression, Hyperspectral imaging, Atmospheric corrections, Land mines

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Proceedings Article | 20 May 2011 Paper

Hyperspectral processing in graphical processing units

Michael Winter, Edwin Winter

Proceedings Volume 8048, 80480O (2011) https://doi.org/10.1117/12.884668

KEYWORDS: Detection and tracking algorithms, Independent component analysis, C++, Video acceleration, Video, Image processing, Video processing, Data processing, Principal component analysis, Visualization

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Proceedings Article | 10 September 2009 Paper

Resolution enhancement of hyperspectral data using multispectral imagery

Michael Winter, Edwin Winter, Scott Beaven

Proceedings Volume 7473, 74730F (2009) https://doi.org/10.1117/12.830231

KEYWORDS: Hyperspectral imaging, Multispectral imaging, Image filtering, Vegetation, Spatial resolution, Image resolution, Sensors, Image processing, Imaging systems, Linear filtering

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Proceedings Article | 30 October 2007 Paper

Resolution enhancement of Hyperion hyperspectral data using Ikonos multispectral data

Edwin Winter, Michael Winter, Scott Beaven, Anthony Ratkowski

Proceedings Volume 6749, 67490P (2007) https://doi.org/10.1117/12.740682

KEYWORDS: Hyperspectral imaging, Earth observing sensors, High resolution satellite images, Multispectral imaging, Vegetation, Sensors, Spatial resolution, Reflectivity, Data acquisition, Image registration

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We have developed a new and innovative technique for combining a high-spatial-resolution multispectral image with a lower-spatial-resolution hyperspectral image. The approach, called CRISP, compares the spectral information present in the multispectral image to the spectral content in the hyperspectral image and derives a set of equations to approximately transform the multispectral image into a synthetic hyperspectral image. This synthetic hyperspectral image is then recombined with the original low-spatial-resolution hyperspectral image to produce a sharpened product. The result is a product that has the spectral properties of the hyperspectral image at a spatial resolution approaching that of the multispectral image. To test the accuracy of the CRISP method, we applied the method to synthetic data generated from hyperspectral images acquired with an airborne sensor. These high-spatial-resolution images were used to generate both a lower-spatial-resolution hyperspectral data set and a four-band multispectral data set. With this method, it is possible to compare the output of the CRISP process to the 'truth data' (the original scene). In all of these controlled tests, the CRISP product showed both good spectral and visual fidelity, with an RMS error less than one percent when compared to the 'truth' image. We then applied the method to real world imagery collected by the Hyperion sensor on EO-1 as part of the Hurricane Katrina support effort. In addition to multiple Hyperion data sets, both Ikonos and QuickBird data were also acquired over the New Orleans area. Following registration of the data sets, multiple high-spatial-resolution CRISP-generated hyperspectral data sets were created. In this paper, we present the results of this study that shows the utility of the CRISP-sharpened products to form material classification maps at four-meter resolution from space-based hyperspectral data. These products are compared to the equivalent products generated from the source 30m resolution Hyperion data.

Proceedings Article | 4 May 2006 Paper

High-performance fusion of multispectral and hyperspectral data

Michael Winter, Edwin Winter, Scott Beaven, Anthony Ratkowski

Proceedings Volume 6233, 62331R (2006) https://doi.org/10.1117/12.668622

KEYWORDS: Hyperspectral imaging, Multispectral imaging, Spatial resolution, Data modeling, Image processing, Sensors, Landsat, Algorithm development, Earth observing sensors, High resolution satellite images

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Proceedings Article | 4 May 2006 Paper

Error rates of unmixed hyperspectral imagery

Michael Winter

Proceedings Volume 6233, 623327 (2006) https://doi.org/10.1117/12.668624

KEYWORDS: Error analysis, Data modeling, Reflectivity, Hyperspectral imaging, Sensors, Image analysis, Atmospheric corrections, Statistical analysis, Image sensors, Atmospheric modeling

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Proceedings Article | 1 June 2005 Paper

Hyperspectral image sharpening using multispectral data

Michael Winter, Edwin Winter, Scott Beaven, Anthony Ratkowski

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.606054

KEYWORDS: Hyperspectral imaging, Sensors, Spatial resolution, Image filtering, Target detection, Multispectral imaging, Vegetation, Imaging systems, Image processing, Data modeling

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Proceedings Article | 12 August 2004 Paper

A proof of the N-FINDR algorithm for the automated detection of endmembers in a hyperspectral image

Michael Winter

Proceedings Volume 5425, (2004) https://doi.org/10.1117/12.542854

KEYWORDS: Sensors, Data modeling, Hyperspectral imaging, Image sensors, Detection and tracking algorithms, Algorithms, Reflectivity, Minerals, Algorithm development, Calcite

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Proceedings Article | 7 January 2004 Paper

Recent results from AHI: an LWIR hyperspectral imager

Paul Lucey, Tim Williams, Michael Winter

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.505096

KEYWORDS: Sensors, Polarization, Spectrographs, Sulfur, Long wavelength infrared, Hyperspectral imaging, Staring arrays, Imaging systems, Spectroscopy, Spectral resolution

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Proceedings Article | 7 January 2004 Paper

Calibration of the University of Hawaii's airborne hyperspectral imager

Michael Winter, Paul Lucey, Tim Williams, Mark Wood

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.510198

KEYWORDS: Calibration, Sensors, Imaging systems, Distortion, Hyperspectral imaging, Staring arrays, Black bodies, Error analysis, Image processing, CCD cameras

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Proceedings Article | 23 September 2003 Paper

Examining hyperspectral unmixing error reduction due to stepwise unmixing

Michael Winter, Paul Lucey, Donovan Steutel

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.487392

KEYWORDS: Error analysis, Hyperspectral imaging, Reflectivity, Sensors, Statistical analysis, Image analysis, Data modeling, Remote sensing, Atmospheric corrections, Statistical modeling

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Proceedings Article | 23 September 2003 Paper

Dimensionality reduction in hyperspectral imagery

David Gillis, Jeffrey Bowles, Michael Winter

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.487180

KEYWORDS: Condition numbers, Hyperspectral imaging, Projection systems, Error analysis, Interference (communication), Principal component analysis, Linear algebra, Image sensors, Spectral resolution, Sensors

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Proceedings Article | 23 September 2003 Paper

Improved error mitigation in endmember unmixing of hyperspectral images via image partitioning of targetlike spectral anomalies

Donovan Steutel, Michael Winter, Paul Lucey

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.487471

KEYWORDS: Target detection, Image processing, Buildings, Hyperspectral imaging, Image analysis, Hyperspectral target detection, Detection and tracking algorithms, Vegetation, Error analysis, Reflectivity

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Proceedings Article | 8 November 2002 Paper

Using endmembers as a coordinate system in hyperspectral imagery

David Gillis, Jeffrey Bowles, Michael Winter

Proceedings Volume 4816, (2002) https://doi.org/10.1117/12.453775

KEYWORDS: Principal component analysis, Hyperspectral imaging, Sensors, Data modeling, Detection and tracking algorithms, Coastal modeling, Mathematical modeling, Target detection, Spectral resolution, Image sensors

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Proceedings Article | 2 August 2002 Paper

Tradeoffs for real-time hyperspectral analysis

Edwin Winter, Michael Schlangen, Anthony Hill, Christopher Simi, Michael Winter

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478769

KEYWORDS: Sensors, Calibration, Detection and tracking algorithms, Target detection, Data acquisition, Data processing, Spectroscopy, Computing systems, Imaging systems, Scanners

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Proceedings Article | 2 August 2002 Paper

Physics-based resolution enhancement of hyperspectral data

Michael Winter, Edwin Winter

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478792

KEYWORDS: Sensors, Resolution enhancement technologies, Data modeling, Hyperspectral imaging, Spatial resolution, Image resolution, Image enhancement, Image registration, Imaging systems, Image quality

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Proceedings Article | 2 August 2002 Paper

Automated material map generation using hyperspectral data: a case study using AVIRIS imagery

Paul Lucey, Michael Winter, Edwin Winter, Donovan Steutel

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478744

KEYWORDS: Vegetation, Detection and tracking algorithms, Algorithm development, Image processing, Hyperspectral imaging, Associative arrays, Databases, Minerals, Spectroscopy, Image segmentation

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Proceedings Article | 10 October 2001 Paper

Three years of operation of AHI: the University of Hawaii's Airborne Hyperspectral Imager

Paul Lucey, Tim Williams, J. Hinrichs, Michael Winter, Donovan Steutel, Edwin Winter

Proceedings Volume 4369, (2001) https://doi.org/10.1117/12.445281

KEYWORDS: Sensors, Calibration, Infrared imaging, Imaging systems, Infrared radiation, Staring arrays, Hyperspectral imaging, Black bodies, Signal to noise ratio, Long wavelength infrared

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Proceedings Article | 10 October 2001 Paper

Preliminary results from AHI at the MUST 2000 experiment in Cairns, Australia

Michael Winter, Paul Lucey, Tim Williams, Donovan Steutel

Proceedings Volume 4369, (2001) https://doi.org/10.1117/12.445282

KEYWORDS: Sensors, Thermography, Infrared imaging, Hyperspectral imaging, Algorithm development, Infrared radiation, Detection and tracking algorithms, Atmospheric corrections, Image segmentation, Imaging systems

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Proceedings Article | 20 August 2001 Paper

Efficient materials mapping for hyperspectral data

Paul Lucey, Michael Winter, Edwin Winter, Donovan Steutel

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437005

KEYWORDS: Vegetation, Minerals, Chemical analysis, Databases, Sensors, Associative arrays, Statistical analysis, Image processing, Remote sensing, Diagnostics

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Proceedings Article | 8 February 2001 Paper

Analysis of data from a thermal infrared hyperspectral instrument

Edwin Winter, Paul Lucey, Michael Winter

Proceedings Volume 4151, (2001) https://doi.org/10.1117/12.417015

KEYWORDS: Sensors, Calibration, Land mines, Infrared radiation, Black bodies, Mining, Hyperspectral imaging, Remote sensing, Particles, Thermography

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While reflection band hyperspectral instruments have been in use for over a decade, only recently has data from airborne thermal IR hyperspectral instruments become available. One such instrument is the Airborne Hyperspectral Imager (AHI). AHI is a pushbroom sensor developed by the University of Hawaii that spans the 8 to 11.5 micrometer spectral band with 32 spectral bands and 256 simultaneous spatial channels. While many analysis techniques used for reflection band hyperspectral processing can be applied to the thermal band, new procedures had to be developed. In particular, sensor noise and sensor non-linearity induced spectral artifacts are a greater problem than for the VNIR and SWIR. The process begins with calibration, with different calibration files being used to optimize the reduction of sensor artifacts such as shading and striping. Once the data has been calibrated to radiance units, the absorption and path radiance effects of the atmosphere can be removed, if atmospheric truth is available. Following this step, the apparent emissivity is calculated for every pixel in each band. The data is now in a form that is analogous to the apparent reflectance images developed for reflection band data. At this point spectral analysis techniques can be applied to classify the image. The procedure used here was to use an automated endmember determination algorithm, N- FINDR, to determine spectral endmembers and unmix the data cube into fractional abundances. Since some endmembers are likely to result from residual sensor and cultural artifacts, the automated endmember determination and unmixing procedure is performed interactively to optimize results. Both the fractional abundance planes and the endmember spectra themselves are then reviewed for artifacts. Selected abundance planes that correspond to real minerals can then be combined into a classification map. In this paper, AHI data collected for two applications: the detection of buried land mine application and a geological remote sensing application will be presented using similar processing steps.

Proceedings Article | 15 November 2000 Paper

Thermal infrared hyperspectral analysis of the NASA Mars rover test site at Silver Lake, California

Michael Winter, Paul Lucey, Keith Horton, Edwin Winter, Jeffrey Moersch

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406600

KEYWORDS: Sensors, Calibration, Black bodies, Infrared radiation, Silver, Mars, Infrared imaging, Hyperspectral imaging, Data conversion, Thermography

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Proceedings Article | 15 November 2000 Paper

Performance of the AHI airborne thermal infrared hyperspectral imager

Paul Lucey, Tim Williams, Michael Winter, Edwin Winter

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406587

KEYWORDS: Sensors, Calibration, Infrared radiation, Infrared imaging, Land mines, Black bodies, Thermography, Hyperspectral imaging, Imaging systems, Absorption

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Proceedings Article | 23 August 2000 Paper

Autonomous determination of endmembers in high spatial and spectral resolution data

Edwin Winter, Christopher Simi, Anthony Hill, Christopher LaSota, Michael Winter

Proceedings Volume 4049, (2000) https://doi.org/10.1117/12.410374

KEYWORDS: Sensors, Spectral resolution, Minerals, Vegetation, Spatial resolution, Scene classification, Agriculture, Calibration, Short wave infrared radiation, Data conversion

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Proceedings Article | 17 July 2000 Paper

Two years of operations of AHI: an LWIR hyperspectral imager

Paul Lucey, Tim Williams, Michael Winter, Edwin Winter

Proceedings Volume 4030, (2000) https://doi.org/10.1117/12.391786

KEYWORDS: Sensors, Infrared imaging, Land mines, Calibration, Imaging systems, Infrared radiation, Long wavelength infrared, Hyperspectral imaging, Staring arrays, Black bodies

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Proceedings Article | 28 December 1999 Paper

Autonomous hyperspectral end-member determination methods

Edwin Winter, Michael Winter

Proceedings Volume 3870, (1999) https://doi.org/10.1117/12.373173

KEYWORDS: Sensors, Image processing, Calcite, Minerals, Remote sensing, Satellites, Image analysis, Hyperspectral imaging, Error analysis, Reflectivity

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Proceedings Article | 27 October 1999 Paper

N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data

Michael Winter

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366289

KEYWORDS: Algorithm development, Minerals, Visualization, Calcite, Short wave infrared radiation, Data modeling, Earth sciences, Image compression, Reflectivity, Sensors

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Showing 5 of 27 publications

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