Elements of information theory
Elements of information theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
An introduction to symbolic dynamics and coding
An introduction to symbolic dynamics and coding
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Symbolic dynamic analysis of complex systems for anomaly detection
Signal Processing
Symbolic time series analysis via wavelet-based partitioning
Signal Processing - Special section: Distributed source coding
Fusion of local statistical parameters for buried underwater mine detection in sonar imaging
EURASIP Journal on Advances in Signal Processing
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This paper presents symbolic pattern analysis of sidescan sonar images for detection of mines and mine-like objects in the underwater environment. For robust feature extraction, sonar images are symbolized by partitioning the data sets based on the information generated from the ground truth. A binary classifier is constructed for identification of detected objects into mine-like and non-mine-like categories. The pattern analysis algorithm has been tested on sonar data sets in the form of images, which were provided by the Naval Surface Warfare Center. The algorithm is designed for real-time execution on limited-memory commercial-of-the-shelf platforms, and is capable of detecting seabed-bottom objects and vehicle-induced image artifacts.