Project Description

REU Site Coordinator

Dr. Stefan Robila,
Assistant Professor of Computer Science, Montclair State Univeristy
robilas@mail.montclair.edu

Mentor

Dr. Angel Gutierrez,

Research Partner

Christopher Neylan,
caneylan@gmail.com

Title: Efficient Data Visualization of Hyperspectral Images

Visualization is defined as the graphical presentation of information, with the goal of providing the viewer with a qualitative understanding of the information content, since the human visual system has very good advanced information processing abilities. One possible direction you will be working on will be to select a hyperspectral data set and investigate visualization approaches that would enhance the understanding of the statistical properties of the data. Here correlation and higher order statistics coefficients play an important role in identifying unique features in the data. In this case, techniques for visualization of volume data will be explored and the student will use the Java 3D API. The student will need to map the sample values to visual parameters for imaging. The level of complexity of these maps will depend upon the level of expertise of the student. In a first approach, the map could perhaps be as simple as using grayscale for the visualization, and as the student progresses, the complexity of the map could include colors, texture and shading. Another direction will be working with data provided by Dr. Antoniou. You will become familiar with JABIRU, for display portability, and he/she will be using the view side objects of the Java 3D API instead of the camera model of viewing taught in many computer graphics courses. A comparison of the displays of images before and after they have been processed, will be made, taking into account the cost of the processing.
 

!! CLICK HERE FOR THE JAVADOC OF THE PROJECT !!