Michigan Technological University
Department of Physics

is pleased to announce the

Graduate Students Series Spring 2004

Jacob Fugal

Physics Graduate Student
Michigan Technological University
Advisor: Dr. Raymond Shaw

Using Digital In-line Holography to Find the
Three-dimensional Distribution of Cloud Droplets

Clustering of cloud droplets influences processes such as radiative transfer
through clouds, precipitation formation, and the remote sensing of clouds.
We have designed and built an instrument we call HOLODEC 1 (Holographic
Detector for Clouds 1) that measures the 3-D position and size of these
cloud droplets using inline (Gabor) holography. HOLODEC 1 flew nine times on
the NCAR/NSF C-130 research aircraft (http://raf.atd.ucar.edu) during
August-September 2003. During the flights we successfully obtained holograms
of cloud droplets and as a surprise to us, ice crystals. I will present a
brief instrument overview, introduction to the holographic method, and a
Huygens-Fresnel method of hologram reconstruction. I will then show
holograms and field amplitude reconstructions of calibration drops, and
condensation and dust on optical surfaces, ice crystals, and of course cloud
droplets.

Ankita Roy

Physics Graduate Student
Michigan Technological University
Advisor: Dr. J. Bruce Rafert

Hyperspectral Imaging -- A Physically
Motivated Correlation Formalism

Hyperspectral Imaging Technology is an emerging branch in Imaging Science.
This talk is basedon a Physically Motivated Correlation Formalism (PMCF),
which places both Spatial and Spectral data on an equivalent mathematical
footing in the context of a specific Kernel, such that, optimal combinations
of independent data can be selected from the entire Hypercube via the method
of Correlation Moments? An experimental and computational analysis of
Hyperspectral data sets using the Michigan Tech VFTHSI [Visible Fourier
Transform Hyperspectral Imager] based on a Sagnac Interferometer is
presented, adjusted to obtain high SNR levels. The captured Signal
Interferograms of different targets with the provision of customized scan
with the same exposures are processed using inverse imaging transformations
and filtering techniques to obtain the Spectral profiles and generate
Hypercubes to compute Spectral/Spatial/Cross Moments. PMCF answers the
question of how optimally the entire hypercube should be sampled and finds
how many spatial-spectral pixels are required for a particular target
recognition with applications in most remote-sensing and medical fields.

Thursday, March 18, 2004

4:00 p.m., Fisher 139

Refreshments will be served

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