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The general theory of nuclear magnetic resonance ~NMR! imaging of large electromagnetically active systems is considered. We emphasize particularly noninvasive geophysical applications such as the imaging of subsurface water content. We derive a general formula for the NMR response voltage, valid for arbitrary transmitter and receiver loop geometry and… (More)

Signal Processing, Sensor Fusion, and Target Recognition XII SPIE’s AeroSense 2003, 21-25 April 2003, Orlando, FA The performance of tracking systems depends on numerous factors including the scenario, operating conditions, and choice of tracker algorithms. For tracker system design, mission planning, and sensor resource management, the availability of a… (More)

The general theory of surface NMR imaging of large electromagnetically active systems is considered, motivated by geophysical applications. A general imaging equation is derived for the NMR voltage response, valid for arbitrary transmitter and receiver loop geometry and arbitrary conductivity structure of the sample. When the conductivity grows to the point… (More)

- Eugene Lavely, Geoffrey Meltzner, Rick Thompson
- HRI
- 2012

We are undertaking the development of a brain computer interface (BCI) [1] for control of an upper limb prosthetic. Our approach exploits electrical neural activity data for motor intent estimation, and eye gaze direction for target selection. These data streams are augmented by computer vision (CV) for 3D scene reconstruction, and are integrated with a… (More)

Automatic target recognition (ATR) performance modeling is dependent on model complexity, training data, and test analysis . In order to compare different ATR algorithms, we develop a fidelity score that characterizes the quality of different algorithms to meet real-world conditions. For instance, a higher fidelity ATR performance model (PM) is robust over… (More)

Motivated by the recent application of the Earth-field nuclear magnetic resonance (NMR) technique to the detection and mapping of subsurface groundwater (to depths of 100 m or so), and making use of a recently developed theory of the method, we consider in detail the resulting inverse problem, namely the inference of the subsurface water distribution from a… (More)

- Eric Freudenthal, Eugene Lavely, William Pierson, Mariam “Ali” Argyle, Joshua Fishman
- 2003

We investigate the complexity of template-based ATR algorithms using SAR imagery as an example. Performance measures (such as Pid) of such algorithms typically improve with increasing number of stored reference templates. This presumes, of course, that the training templates contain adequate statistical sampling of the range of observed or test templates.… (More)

- Eugene Lavely
- 2010

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)… (More)

- Anne Kearns, Pieter J. Hoekstra, Richard J. Blohm, Mark W. Blohm, Peter B. Weichman, Eugene Lavely
- 1999

- SURVEY DESIGN, Jie Zhang, Eugene Lavely, M. Nafi Toksoz
- 2012

A useful approach to optimal seismic survey design is to simulate the seismic response for a suite of a priori subsurface models and shot-receiver templates. The response can be used to evaluate many criteria such as subsurface coverage, target resolution, noise sensitivity, aquisition footprint, data redundancy, long-wavelength statics resolution, and… (More)

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