The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Broadband active sonars (15-150 kHz) capture morphological characteristics of underwater objects and are used by dolphins to recognize targets in cluttered environments, motivating their use in underwater mine countermeasure applications. However, the data from broadband sonars is very high-dimensional (typically 1400), requiring classification algorithms that can operate in these spaces with limited training data. Standard statistical approaches such as probability density estimation are often ill-suited to this task. This paper presents a new algorithm for mine-like object recognition that has shown promising results during in-water tests. The technique employs a nearest-neighbor classifier in conjunction with a non-metric similarity function and synthetic augmentation of the training data. Experimental results are presented comparing this method to a standard algorithm (LDA/PCA) and indicating that the nearest-neighbor approach addresses some deficiencies in existing techniques for the mine-like object recognition problem.

Keywords

pattern classification, demining

Notes

Text Reference

Sudha Reese, Gita Sukthankar, and Rahul Sukthankar, "An Efficient Recognition Technique for Mine-Like Objects Using Nearest-Neighbor Classification," Proceedings of Undersea Defense Technology Europe, June, 2003.

BibTeX Reference

@inproceedings{Sukthankar_2003_4377,
   author = "Sudha Reese and Gita Sukthankar and Rahul Sukthankar",
   title = "An Efficient Recognition Technique for Mine-Like Objects Using Nearest-Neighbor Classification",
   booktitle = "Proceedings of Undersea Defense Technology Europe",
   month = "June",
   year = "2003",
}

The Robotics Institute

Menu