Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Gerald J. Dobeck"'
Publikováno v:
IEEE Journal of Oceanic Engineering. 35:250-266
High-resolution synthetic aperture sonar (SAS) systems yield finely detailed images of sea bottom environments. SAS image texture models must be capable of representing a wide variety of sea bottom environments including sand ripples, coral or rock f
Publikováno v:
IEEE Transactions on Neural Networks. 20:395-405
The purpose of this research is to develop a classifier capable of state-of-the-art performance in both computational efficiency and generalization ability while allowing the algorithm designer to choose arbitrary loss functions as appropriate for a
Publikováno v:
IEEE Journal of Oceanic Engineering. 30:360-371
A data-adaptive algorithm is presented for the selection of the basis functions and training data used in classifier design with application to sensing mine-like targets with a side-scan sonar. Automatic detection of mine-like targets using side-scan
Autor:
Joseph A. Bucaro, Lawrence Carin, Luise S. Couchman, P. Runkle, Timothy J. Yoder, Gerald J. Dobeck, Nilanjan Dasgupta
Publikováno v:
IEEE Journal of Oceanic Engineering. 28:271-282
In underwater sensing applications, it is often difficult to train a classifier in advance for all targets that may be seen during testing, due to the large number of targets that may be encountered. We therefore partition the training data into targ
Publikováno v:
IEEE Transactions on Neural Networks. 13:1099-1111
A new adaptive underwater target classification system to cope with environmental changes in acoustic backscattered data from targets and nontargets is introduced. The core of the system is the adaptive feature mapping that minimizes the classificati
Publikováno v:
IEEE Journal of Oceanic Engineering. 27:619-627
The problem of classifying underwater targets is addressed in this paper. The proposed classification system consists of several subsystems including preprocessing, subband decomposition using wavelet packets, linear predictive coding, feature select
Publikováno v:
IEEE Journal of Oceanic Engineering. 25:192-205
In this paper, new pre- and post-processing schemes are developed to process shallow-water sonar data to improve the accuracy of target detection. A multichannel subband adaptive filtering is applied to preprocess the data in order to isolate the pot
Publikováno v:
IEEE Transactions on Signal Processing. 46:1580-1590
The problem of estimating multiple time delays in presence of colored noise is considered. This problem is first converted to a high-resolution frequency estimation problem. Then, the sample lagged covariance matrices of the resulting signal are comp
Publikováno v:
IEEE Transactions on Signal Processing. 46:3398-3403
A new time delay estimation procedure is proposed using the multiresolution analysis framework through a discrete wavelet transform (DWT). Once the signals are decomposed, the time delays are estimated iteratively in each subband using two different
Publikováno v:
IEEE Journal of Oceanic Engineering. 20:346-353
The problem of underwater target detection and classification from acoustic backscatter is the central focus of this paper. It has been shown that at certain frequencies the acoustic backscatter from elastic targets exhibits certain resonance behavio