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Spectral

Spectral Imagery Analysis

 

Our current research and projects include environmental mapping, target detections inclusive of military, commercial and private sectors.

The Remote Sensing Center works 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.

Spectral imagery measures the spectral character of materials within the visible range and beyond. Even when two objects may appear visually identical, they may be distinguished through examination of their spectral properties. Computer software can switch colors and even assign colors to bands that are not visible.

 

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

WorldView-2 illustration of Camp Pendleton, CA scene components using multispectral data. Components of the scene highlighted include from left to right; waves, kelp (red), an airplane condensation trail, outflowing river sediment, and the shoreline (white).

 

All eight un-enhanced WorldView-2 bands are shown in the scenes above, focusing on the littoral region near Camp Pendleton, CA on 24 March 2010.  From left to right: Coastal, Blue, Green, Yellow (top), and Red, Red Edge, NIR-1, NIR-2 (bottom).

 

Principal components for the same image. From left to right: Coastal, Blue, Green, Yellow (top), and Red, Red Edge, NIR-1, NIR-2 (bottom).

A subset of spectral imagery, hyperspectral data, is produced when "solar electromagnetic energy reflected from the earth's surface is dispersed into many contiguous narrow spectral bands by an airborne spectrometer" (Stefanou, 1997, p. 2).

A Signal Processing Perspective of Hyperspectral Imagery Analysis Techniques
Marcus Stavros Stefanou, Electrical Engineering, June, 1997.

 

    

 

Related Theses

 

Coastal Bathymetry Using Satellite Observation in Support of Intelligence Preparations of the Environment
Kenneth B. Myrick II, Space Systems Operations
September 2011
Thesis Advisor: Richard C. Olsen
Second Reader: Jamie MacMahan

 

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

 

Coastal Bathymetry Using 8-Color Multispectral Satellite Observation of Wave Motion (with movie)
Coastal Bathymetry Using 8-Color Multispectral Satellite Observation of Wave Motion (without movie)
Bradley L. McCarthy, Remote Sensing Intelligence
September 2010
Thesis Advisor: Richard C. Olsen
Second Reader: Fred A. Kruse

 

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

 

Littoral Trafficability Prediction by Hyperspectral Imagers
Christopher A. Jones, Space Systems Operations
September 2009
Thesis Advisor: Richard C. Olsen
Co-advisor: Charles Bachmann
(distribution limited)

 

Depth Derivation from the WorldView-2 Satellite Using Hyperspectral Imagery
Michael J. Loomis, Jr., Meteorology and Physical Oceanography
March 2009
Thesis Advisor: Philip A. Durkee
Thesis Co-advisor: Richard C. Olsen

 

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

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