SERDP UX-1312 FINAL REPORT Multi-Sensor CSEM Technology for Buried Target Classification

Uncertainty Measurement for Ultrasonic Sensor Fusion Using Generalized Aggregated Uncertainty Measure 1

In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...

FINAL REPORT Sensor Phenomenology and Feature Development for Improved Sonar-based Detection & Classification of Underwater UXO SERDP Project MM-1533

This effort has examined the problem of detection and classification of buried munitions in underwater environments. We have focused on the use of low frequency sonar since high frequency acoustic waves are strongly attenuated by sediments. The focus of this effort has been to process low-frequency data collected from the Buried Object Scanning Sonar (BOSS) into 3D imagery using beamforming, an...

FINAL REPORT Single Ferromagnetic Nanocontact Based Devices as Magnetic Field Sensors SERDP Project MM-1593

Hybrid method for full identification of buried objects and surrounding media

This study describes a hybrid technique for identification of buried objects. The object’s shape and electromagnetic profile are reconstructed from evaluations of electrical permittivity and conductivity. The method suggests a combination of linear sampling and optimization. Linear sampling method (LSM) is used to recover shape and metaheuristic optimizations essential to reconstruct the inside...

Va-3092-003-02-tr Serdp Project Cu-1121 Final Report Processing Techniqes for Discrimination between Buried Uxo and Clutter Using Multisensor Array Data

Although commercially available geophysical sensors are capable of detecting UXO at nominalburial depths, they cannot reliably discriminate between UXO and clutter. As a result, anestimated 75% of remediation funds are spent on nonproductive excavations. During the pastfew years, we have been studying the merits of using multifrequency EMI data fordiscriminating between UXO ...