Class Year
2015
Document Type
Poster
Date of Creation
Fall 2014
Department 1
Physics
Abstract
We are experimenting with a correlation method that allows us to cross-correlate images that have geolocated pixels without having to bin the pixels and lose resolution. In addition to preserving resolution, this correlation method also allows us to perform transformations on the images that would be difficult to perform with other correlation methods. We are working on this correlation method in order to use cross-correlations to track polar mesospheric clouds (PMCs) using the data from the Cloud Imaging and Particle Size (CIPS) instrument on the Aeronomy of Ice in the Mesosphere (AIM) satellite.
Copyright Note
This is the author's version of the work. This publication appears in Gettysburg College's institutional repository by permission of the copyright owner for personal use, not for redistribution.
Recommended Citation
Utermohlen, Franz G., "Tracking Polar Mesospheric Clouds Using Unbinned Correlation Methods" (2014). Student Publications. 260.
https://cupola.gettysburg.edu/student_scholarship/260
Comments
This research was conducted at Hampton University through the Crest Undergraduate Research Experience (CURE) Program (http://cure.hamptonu.edu).