Change detection analysis with spectral thermal imagery
By: Richard J. Behrens
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1998
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 135
Description: Spectral imagery offers additional information about a scene that can enhance an analyst's ability to conduct      change detection. Automation of change detection is required to sift through countless images to identify scenes      that have significant intelligence value. Change detection in spectral thermal imagery enables exploitation at night      by taking advantage of the emissive characteristics of materials. Data collected from the Spatially Enhanced      Broadband Array Spectrograph System (SEBASS) were used to investigate the feasibility of spectral thermal      change detection in the long wave infrared (LWIR) region. This study used analysis techniques of differencing,      histograms, and principal components analysis to detect spectral changes and investigate the utility of spectral      change detection. Many artifacts can influence the sensitivity of change detection methods. Temperature      dependence and gross registration errors greatly affect an analysts ability to make use of spectral thermal data      for change detection; however, with effort, spectral changes were still detected with these data and suggest that      the techniques would be useful once the undesirable characteristics are minimized.
Notes: "September 1998."

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

Thesis (M.S. in Space Systems Operations) Naval Postgraduate School, September 1998.

Includes bibliographical references (p. 129-131)

"Approved for public release, distribution unlimited"--Cover.

Also available online.

Mode of access: World Wide Web.

System Requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 11/17/98