Masters Theses

Abstract

"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.

Advisor(s)

Agarwal, Sanjeev, 1971-

Committee Member(s)

Moss, Randy Hays, 1953-
Zheng, Y. Rosa

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

Night Vision Laboratory. Countermine Division

Publisher

Missouri University of Science and Technology

Publication Date

2009

Pagination

ix, 56 pages

Note about bibliography

Includes bibliographical references (pages 52-55).

Rights

© 2009 Abhishek Sanaka, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Image processing -- Computer programsMines (Military explosives) -- DetectionSpatial analysis (Statistics)Mines (Military explosives) -- Remote sensingSpectral theory (Mathematics)

Thesis Number

T 10261

Print OCLC #

870998705

Electronic OCLC #

906045714

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