Adaptive Hidden Markov Models for extended landmine detection

被引：2
|
作者：
Mystkowski, M [1 ]
Gader, PD [1 ]
机构：
[1] Univ Missouri, Dept Comp Engn & Comp Sci, Columbia, MO 65211 USA
来源：
DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS VI, PTS 1 AND 2 | 2001年 / 4394卷
关键词：
landmine detection; ground penetrating radar; Hidden Markov Models;
D O I：
10.1117/12.445500
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Previous experiments with Hidden Markov Models showed that they could be used as an algorithm for landmine detection. In this paper we propose a basic adaptive algorithm for discrete Hidden Markov Model for landmine detection. The performance of adaptive HMM is investigated using GPR data from gathered during the Vehicle Mounted Mine Detection Advanced Technology Demonstrations. In both cases the adaptive HMM outperforms the baseline HMM model, trained offline using Baum-Welch algorithm.
引用
收藏
页码：476 / 482
页数：7
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