Target detection and classification at Kernel Blitz 1997 using spectral imagery

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Authors
Sanders, Jeffrey D.
Subjects
Remote sensing
Hyperspectral
Imagery
Target detection
Classification
HYDICE
Littoral radiance II
Kernel Blitz '97
Camp Pendleton
Advisors
Olsen, Richard Christopher
Cleary, David D.
Date of Issue
1999-06-01
Date
June 1998
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Data collected from the Hyperspectral Digital Imagery Collection Experiment (HYDICE) were analyzed in this thesis to determine the feasibility of wide area detection and classification of target materials in the visible to short wave infrared region. This study used detection algorithms such as spectral angle mapper and matched filter for target detection. Parallelepiped and Maximum Likelihood routines were used to classify the image data for subsequent analyses and comparisons. Effects on data due to altitude variation of the sensor were analyzed using histograms, differencing, and principal component transforms. Data images of the Camp Pendleton airfield used for comparison analyses were obtained from two different altitudes, 5,000 feet and 10,000 feet. Results showed target detection and classification had no strong dependence on altitude.
Type
Thesis
Description
Series/Report No
Department
Department of Physics
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
x, 104 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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