Target detection and classification at Kernel Blitz 1997 using spectral imagery
By: by Jeffrey D. Sanders
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1999
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 104
Description: 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.
Notes: "June 1999".

Thesis advisor(s): Richard C. Olsen, David D. Cleary.

Thesis (M.S. in Applied Physics) Naval Postgraduate School, June 1999.

Includes bibliographical references (p. 101-102).

Approved for public release; distribution unlimited.

Also available online

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 07/30/99.