The utility of hyperspectral data to detect and discriminate actual and decoy target vehicles
By: Steven M. Bergman
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1996
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 118
Description: The objective of this work is to evaluate the utility of hyperspectral signature data in      satisfying time-sensitive intelligence requirements. This work is conducted in support of the      Hyperspectral MASINT support to Military Operations (HYMSMO) program. Data are      used from the Hyperspectral Digital Imaging Collection Experiment (HYDICE) imaging      spectrometer using the 0.4 um to 2.5 um wavelength range. Operation Forest Radiance I      was the third in a series of HYMSMO- sponsored collection and exploitation experiments,      and the data set analyzed herein was derived from this effort. The first phase of the Forest      Radiance experiment emphasized the collection of spectra from a suite of overtly exposed      mobile vehicles, decoys, and target panels. Analysis shown here was conducted to      determine if it is possible to detect and discriminate real and decoy vehicles. The Low      Probability of Detection (LPD) and Spectral Angle Mapper (SAM) anomaly detection and      classification algorithms are applied to the data set being analyzed. The LPD algorithm      performs well at detecting residual spectra, but produces a significant number of false      alarms. The SAM technique is equally successful at detecting residual spectra and proves      to have an advantage over the LPD when it comes to obviating misidentifications. This      thesis shows that detection and discrimination of mobile vehicles (HMMWVs) and decoys      in a natural grass environment is possible using this technology.
Notes: Thesis advisor(s): Richard Christopher Olsen, David D. Cleary.

"December 1996."

Thesis (M.S. in Systems Technology (Scientific and Technical Intelligence)) Naval Postgraduate School, December 1996.

Includes bibliographical references (p. 115-116).

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 6/11/97.