Search Results - "Rogge, D M"

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  1. 1

    Integration of spatial–spectral information for the improved extraction of endmembers by Rogge, D.M., Rivard, B., Zhang, J., Sanchez, A., Harris, J., Feng, J.

    Published in Remote sensing of environment (15-10-2007)
    “…Spectral-based image endmember extraction methods hinge on the ability to discriminate between pixels based on spectral characteristics alone. Endmembers with…”
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    Journal Article
  2. 2

    The Successive Projection Algorithm (SPA), an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data by Zhang, Jinkai, Rivard, Benoit, Rogge, D M

    Published in Sensors (Basel, Switzerland) (22-02-2008)
    “…Spectral mixing is a problem inherent to remote sensing data and results in fewimage pixel spectra representing "pure" targets. Linear spectral mixture…”
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    Journal Article
  3. 3

    Nonlinear dynamic behavior of an impact damaged composite skin–stiffener structure by Ooijevaar, T.H., Rogge, M.D., Loendersloot, R., Warnet, L.L., Akkerman, R., Tinga, T.

    Published in Journal of sound and vibration (29-09-2015)
    “…One of the key issues in composite structures for aircraft applications is the early identification of damage. Often, service induced damage does not involve…”
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    Journal Article
  4. 4

    SAW sensor for fastener failure detection by Wilson, W C, Rogge, M D, Fisher, B, Malocha, D C, Atkinson, G M

    Published in 2010 IEEE Sensors (01-11-2010)
    “…The proof of concept for using surface acoustic wave (SAW) strain sensors in the detection of aircraft fastener failures is demonstrated. SAW sensors were…”
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    Conference Proceeding
  5. 5

    Radionuclide brain perfusion studies in suspected brain death by Kuni, C C, Rogge, D M

    Published in Clinical nuclear medicine (01-08-1986)
    “…The radionuclide brain perfusion study (RPS) has been suggested as a method of confirming suspected brain death. The hospital records and RPSs of 34 patients…”
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    Journal Article
  6. 6

    Iterative spatial filtering for reducing intra-class spectral variability and noise by Rogge, D M, Rivard, B

    “…Intra-class variability and noise are obstacles that obscure subtle differences between spectral classes in hyperspectral imagery. This paper presents an…”
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    Conference Proceeding
  7. 7

    Iterative Spectral Unmixing for Optimizing Per-Pixel Endmember Sets by Rogge, D.M., Rivard, B., Jinkai Zhang, Jilu Feng

    “…Fractional abundances predicted for a given pixel using spectral mixture analysis (SMA) are most accurate when only the endmembers that comprise it are used,…”
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    Journal Article
  8. 8

    Fastener Failure Detection Using a Surface Acoustic Wave Strain Sensor by Wilson, W. C., Rogge, M. D., Fisher, B. H., Malocha, D. C., Atkinson, G. M.

    Published in IEEE sensors journal (01-06-2012)
    “…Surface acoustic wave (SAW) strain sensors are presented for use in the detection of aircraft fastener failures. SAW sensors have the potential for the…”
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    Journal Article
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    Spectral enhancement of sebass hyperspectral data and its application in mapping of ultramafic rocks by Feng, J., Rivard, B., Rogge, D. M., Grant, B.

    “…Airborne SEBASS data (measuring hyperspectral thermal emissivity) was acquired and analyzed to map the spatial distribution of ultramafic rocks in remote areas…”
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    Conference Proceeding
  12. 12

    Photogrammetric verification of fiber optic shape sensors on flexible aerospace structures by Moore, J. P., Rogge, M. D., Jones, T. W.

    “…Multi-core fiber (MCF) optic shape sensing offers the possibility of providing in-flight shape measurements of highly flexible aerospace structures and control…”
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    Conference Proceeding
  13. 13

    Effect of Overweight and Obesity on Cardiovascular Events in Asymptomatic Aortic Stenosis by Rogge, Barbara P., MD, Cramariuc, Dana, MD, PhD, Lønnebakken, Mai Tone, MD, PhD, Gohlke-Bärwolf, Christa, MD, Chambers, John B., MD, PhD, Boman, Kurt, MD, PhD, Gerdts, Eva, MD, PhD

    “…Objectives This study investigated whether overweight and obesity impacted outcome in patients with aortic valve stenosis (AS). Background Increased body mass…”
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    Journal Article
  14. 14

    Spatial constraints on endmember extraction and optimization of per-pixel endmember sets for spectral unmixing by Rivard, B., Rogge, D.M., Feng, J., Zhang, J.

    “…Fractional abundances predicted for a given pixel using spectral mixture analysis (SMA) are most accurate when only the spectral endmembers that comprise it…”
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    Conference Proceeding
  15. 15

    Impact of Obesity and Nonobesity on Grading the Severity of Aortic Valve Stenosis by Rogge, Barbara P., MD, Gerdts, Eva, MD, PhD, Cramariuc, Dana, MD, PhD, Bahlmann, Edda, MD, Jander, Nikolaus, MD, Gohlke-Bärwolf, Christa, MD, Pedersen, Terje R., MD, PhD, Lønnebakken, Mai Tone, MD, PhD

    Published in The American journal of cardiology (01-05-2014)
    “…We tested the hypothesis that the disproportionate increase of body surface area in obesity may lead to the overestimation of aortic stenosis (AS) severity…”
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    Journal Article