"Tests run in May 2005 at an arid site as part of airborne minefield detection yielded substantial airborne background data with ground truthed and surveyed false alarm locations. ERDC and MultiSensor LLC identified the locations, geo referenced and documented different false alarms. The project reported here built a self-contained database of image chips recording target signatures for MSI (four bands) and MWIR sensors for false alarms from this background data and mines from related areas. The image chips represent various days, times of day, altitudes, as well as several different sources of false alarm and mine types. The database facilitates analysis of the background data to determine spectral and shape features of various false alarm types. It presents results obtained from a set of spectral features useful for effective false alarm mitigation. A reasonable separation between different types of false alarms is shown with the help of color contrast feature. It differentiates between vegetation and non vegetation type false alarms with the help of normalized difference vegetation index (NDVI) and related metrics. It also examines the spatial distribution of the various types of false alarms available in the background data. This study reviews and summarizes the data collection procedure, presents the database of the target chips, describes the spectral and shape features of false alarms, and analyzes their spatial distributions to advance mine and minefield-level detection"--Abstract, page iii.
Agarwal, Sanjeev, 1971-
Moss, Randy Hays, 1953-
Zheng, Y. Rosa
Electrical and Computer Engineering
M.S. in Electrical Engineering
Night Vision Laboratory. Countermine Division
Missouri University of Science and Technology
ix, 56 pages
© 2009 Abhishek Sanaka, All rights reserved.
Thesis - Restricted Access
Image processing -- Computer programs
Mines (Military explosives) -- Detection
Spatial analysis (Statistics)
Mines (Military explosives) -- Remote sensing
Spectral theory (Mathematics)
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Electronic OCLC #
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu:80/record=b10251217~S5
Sanaka, Abhishek, "Spectral and spatial analysis of false alarms in airborne minefield data" (2009). Masters Theses. 4521.
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