Improved preprocessing and data clustering for land mine discrimination

Pramodh Mereddy; Sanjeev Agarwal; Vittal S. Rao

doi:10.1117/12.396218

22 August 2000 Improved preprocessing and data clustering for land mine discrimination

Pramodh Mereddy, Sanjeev Agarwal, Vittal S. Rao

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396218
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In this paper we discuss an improved algorithm for sensor- specific data processing and unsupervised data clustering for landmine discrimination. Pre-processor and data- clustering modules forma central part of modular sensor fusion architecture for landmine detection and discrimination. The dynamic unsupervised clustering algorithm is based on Dignet clustering. The self-organizing capability of Dignet is based on the idea of competitive generation and elimination of attraction wells. The center, width and depth characterize each attraction well. The Dignet architecture assumes prior knowledge of the data characteristics in the form of predefine well width. In this paper some modifications to Dignet architecture are presented in order to make Dignet truly self-organizing and data independent clustering algorithm. Information theoretic per-processing is used to capture underlying statistical properties of the sensor data which in turn is used to define important parameter for Dignet clustering such as similarity metrics, initial cluster width etc. The width of the cluster is also adapted online so that a fixed width is not enforced. A suitable procedure for online merge and clean operations is defined to re-organize the cluster development. A concept of dual width is employed to satisfy the competing requirements of compact clusters and high coverage of the data space. The performance of the improved clustering algorithm is compared with base-line Dignet algorithm using simulated data.

Citation Download Citation

Pramodh Mereddy, Sanjeev Agarwal, and Vittal S. Rao "Improved preprocessing and data clustering for land mine discrimination", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396218

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