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Multi-Sensor Detection of Obscured and Buried Objects
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Title:
Multi-Sensor Detection of Obscured and Buried Objects
Author:
Bolton, Jeremy
;
Smock, Brandon
Subjects:
Active & Passive Radar Detection & Equipment
;
ALGORITHMS
;
BURIED OBJECTS
;
CLASSIFIER DEVELOPMENT
;
Cybernetics
;
FUZZY LOGIC
;
GROUND PENETRATING RADAR
;
IMAGE PROCESSING
;
JOMP(JOINT ORTHOGONAL MATCHING PURSUIT)
;
Land Mine Warfare
;
LAND MINES
;
LEARNING MACHINES
;
MIL(MULTIPLE-INSTANCE LEARNING)
;
MINE DETECTORS
;
MINESWEEPING
;
MULTISENSORS
;
ORTHOGONALITY
;
PATTERN RECOGNITION
;
PE622712A
;
SENSOR FUSION
;
SIGNAL PROCESSING
;
SUBSURFACE
;
SWEEP DETECTION
;
TARGET CLASSIFICATION
;
TARGET DETECTION
Description:
The subject research was performed at the University of Florida between the primary contract dates of Fall 2008 and Summer 2013, with an extension through Spring 2014. The research was performed to support the ability to detect landmines and such subsurface objects by a variety of sensors and platforms employed in systems being studied by NVESD. The original document contains color images.
Creation Date:
2014
Language:
English
Source:
DTIC Technical Reports
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