Dr. Ali Koksal Hocaoglu Profile

Dr. Ali Koksal Hocaoglu

at Univ of Florida

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Author

Publications (10)

Proceedings Article | 21 September 2004 Paper

Phase signatures in acoustic-seismic landmine detection

Tsaipei Wang, James Keller, Paul Gader, Ali Hocaoglu

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.544330

KEYWORDS: Land mines, Acoustics, Laser Doppler velocimetry, Oscillators, Solids, Mining, Detection and tracking algorithms, Image processing, Doppler effect, Data acquisition

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Proceedings Article | 11 September 2003 Paper

Model-based landmine detection algorithms for acoustic/seismic data

Tsaipei Wang, James Keller, Paul Gader, Gerhard Ritter, Ali Hocaoglu, Mark Schmalz

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488731

KEYWORDS: Mining, Land mines, Acoustics, Data modeling, Detection and tracking algorithms, Oscillators, Image processing, Model-based design, Laser Doppler velocimetry, Phase velocity

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Proceedings Article | 11 September 2003 Paper

Fusion of acoustic/seismic and GPR detection algorithms

Paul Gader, Joseph Wilson, Tsaipei Wang, James Keller, Wen-Hsiung Lee, Roopnath Grandhi, Ali Hocaoglu, John McElroy

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488733

KEYWORDS: General packet radio service, Acoustics, Mining, Sensors, Land mines, Metals, Palladium, Detection and tracking algorithms, Data acquisition, Algorithm development

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A variety of sensors have been investigated for the purpose of detecting buried landmines in outdoor environments. Mines with little or no metal are very difficult to detect with traditional mine detection systems. Ground Penetrating Radar (GPR) sensors have shown great promise in detecting low metal mines and can easily detect metal mines. Unfortunately, it can still be difficult to detect low-metal mines with GPR due to very low contrast between the mine and the surrounding medium. Acoustic-seismic systems were proposed by Sabatier et.al. and have also shown great promise in detecting low metal mines. There are now a wealth of references that discuss these systems and algorithms for processing data from these systems. Therefore, they will not be discussed in detail here. In fact, low-metal mines are easier to detect than metal mines with this acoustic-seismic systems. Low metal mines that are difficult for a GPR to detect can be quite easy to detect with acoustic-seismic systems. Sensor fusion with these sensors is of interest since together they can find a broader range of mines with relative ease. The algorithmic challenge is to determine a strategy for combining the multi-sensor information in a way that can increase the probability of detection without increasing the false alarm rate significantly. In this paper, we investigate fusion of information obtained from GPR and acoustic-seismic on real data measured from a mine lane containing three types of buried landmines and also areas containing no landmines. Algorithms are applied to data acquired from each sensor and confidence values are assigned to each location at which a measurement is made by each sensor. The GPR is used as a primary sensor. At each location at which the GPR algorithm declares an alarm, a modified likelihood-based approach is used to increase the GPR derived confidence if the likelihood that a mine is present, defined by the acoustic-based confidence, is larger than the likelihood that no mine is present. If the acoustic-derived confidence is very high, then a declaration is made even if there is no GPR declaration. The experiments were conducted using data acquired from the sensors at different times. The acoustic-seismic system collected data over a subset of the region at which the GPR collected data. Results are given only over those regions for which both sensors collected data.

Proceedings Article | 11 September 2003 Paper

Detection of tripwires using diffusion

Ali Hocaoglu, Paul Gader

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488728

KEYWORDS: Diffusion, Detection and tracking algorithms, Image processing, Digital imaging, Short wave infrared radiation, Image enhancement, Cameras, Medical imaging, Digital image processing, Optical filters

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Proceedings Article | 13 August 2002 Paper

Fourier descriptor features for acoustic landmine detection

James Keller, Zhanqi Cheng, Paul Gader, Ali Hocaoglu

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479139

KEYWORDS: Land mines, Mining, Acoustics, Laser Doppler velocimetry, Feature extraction, 3D image processing, Binary data, Digital filtering, Doppler effect, Linear filtering

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Proceedings Article | 13 August 2002 Paper

Continuous processing of acoustic data for landmine detection

Ali Hocaoglu, Paul Gader

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479137

KEYWORDS: Mining, Independent component analysis, Sensors, Land mines, Acoustics, Data acquisition, Detection and tracking algorithms, Laser Doppler velocimetry, 3D image processing, Feature extraction

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Proceedings Article | 22 August 2000 Paper

Hidden Markov models and morphological neural networks for GPR-based land mine detection

Paul Gader, Ali Hocaoglu, Miroslaw Mystkowski, Y. Zhao

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396195

KEYWORDS: Land mines, Mining, General packet radio service, Neural networks, Calibration, Sensors, Feature extraction, Fuzzy logic, Algorithm development, Detection and tracking algorithms

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Proceedings Article | 2 August 1999 Paper

Optimal linear combination of order statistics filters and their relationship to the Delta-operator

Ali Hocaoglu, Paul Gader, Erol Gelenbe, Taskin Kocak

Proceedings Volume 3710, (1999) https://doi.org/10.1117/12.357016

KEYWORDS: Digital filtering, Nonlinear filtering, Linear filtering, Sensors, Target detection, Land mines, Image processing, Optimal filtering, Computer science, Electromagnetism

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Proceedings Article | 5 March 1999 Paper

Choquet integral-based morphological operators

Ali Hocaoglu, Paul Gader

Proceedings Volume 3646, (1999) https://doi.org/10.1117/12.341101

KEYWORDS: Target detection, Image enhancement, Chemical elements, Computer programming, Digital filtering, Image processing, Sensors, Error analysis, Fuzzy logic, Optimal filtering

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Proceedings Article | 6 April 1998 Paper

Choquet integral representations of nonlinear filters with applications to ladar image processing

Ali Hocaoglu, Paul Gader

Proceedings Volume 3304, (1998) https://doi.org/10.1117/12.304617

KEYWORDS: Digital filtering, Nonlinear filtering, Target detection, LIDAR, Sensors, Optical filters, Linear filtering, Image filtering, Optimal filtering, Image processing

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Showing 5 of 10 publications

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