Spectral imaging was the foundation of the center's activities for a number of years, but is not a current focus, aside from our interest in spectral lidar.

The Remote Sensing Center has worked with airborne and satellite systems including IKONOS/Quickbird multispectral imagery (MSI), and airborne hyperspectral imaging (HSI) systems including AVIRIS, HYDICE, CASI, and HYMAP.  

Classification and analysis, including atmospheric compensation is performed using standard industry research tools; notably ENVI and ERDAS Imagine.

The most recent thesis work has focused on coastal bathymetry particularly using WorldView-2’s 8-band MSI sensor.


RSC - Spectral - subcontent
A Signal Processing Perspective of Hyperspectral Imagery Analysis Techniques

Marcus Stavros Stefanou, Electrical Engineering, June, 1997.

RSC - Spectral - SAM output image
SAM Output
RSC - Spectral - Related Theses

Related Theses


High Spatial Resolution Bidirection Reflectance Retrieval Using Satellite Data

Cecelia L. McConnon, Space Systems Operations
December 2010
Thesis Advisor: R. C. Olsen
Second Reader: J. H. Newman


Predicting Soil Strength with Remote Sensing Data
Jon T. Wende, Space Systems Operations
September 2010
Thesis Advisor: R. C. Olsen
Co-Advisor: C. Bachmann


NDVI and Panchromatic Image Correlation Using Texture Analysis
David A. Jablonski, Space Systems Operations
March 2010
Advisor: Richard C. Olsen
Second Reader: David M. Trask


Investigating the Effects of Higher Spatial Resolution on Benthic Classification Accuracy at Midway Atoll
Richard K. Arledge, Space Sytems Operations
Ervin B. Hatcher, Space Systems Operations and Information Technology Management
September 2008
Thesis Advisor: Daria Siciliano
Co-Advisor: Richard C. Olsen
Second Reader: Glenn Cook