Context-dependent multisensor fusion and its application to land mine detection
We present a novel method for fusing the results of multiple land mine detection algorithms
which use different sensors, features, and different classification methods. The proposed …
which use different sensors, features, and different classification methods. The proposed …
Towards metal detection and identification for humanitarian demining using magnetic polarizability tensor spectroscopy
This paper presents an inversion procedure to estimate the location and magnetic
polarizability tensor of metal targets from broadband electromagnetic induction (EMI) data …
polarizability tensor of metal targets from broadband electromagnetic induction (EMI) data …
Adaptive coherence estimator (ace) for explosive hazard detection using wideband electromagnetic induction (wemi)
The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between
a known target vector and a sample vector in a transformed coordinate space. The space is …
a known target vector and a sample vector in a transformed coordinate space. The space is …
Target classification and identification using sparse model representations of frequency-domain electromagnetic induction sensor data
Frequency-domain electromagnetic induction (EMI) sensors can measure object-specific
signatures that can be used to discriminate landmines from harmless clutter. In a model …
signatures that can be used to discriminate landmines from harmless clutter. In a model …
Detection and imaging of underground objects for distinguishing explosives by using a fluxgate sensor array
Active and passive techniques are two different techniques with which to detect buried
explosives. In practice, the most preferred active method works by broadcasting a signal …
explosives. In practice, the most preferred active method works by broadcasting a signal …
[HTML][HTML] Performance analysis of techniques used for determining land mines
Today, remote sensing is used for different methods and different purposes. In all of the
detection methods, some considerations such as low energy consumption, low cost …
detection methods, some considerations such as low energy consumption, low cost …
Context‐based classification via mixture of hidden Markov model experts with applications in landmine detection
In many applications data classification may be hindered by the existence of multiple
contexts that produce an input sample. To alleviate the problems associated with multiple …
contexts that produce an input sample. To alleviate the problems associated with multiple …
Landmine classification using possibilistic k-nearest neighbors with wideband electromagnetic induction data
A possibilistic K-Nearest Neighbors classifier is presented to classify mine and non-mine
objects using data collected from a wideband electromagnetic induction (WEMI) sensor. The …
objects using data collected from a wideband electromagnetic induction (WEMI) sensor. The …
A magnetic measurement system and identification method for buried magnetic materials within wet and dry soils
In this paper, a new magnetic measurement system is developed to determine upper
surfaces of buried magnetic materials, particularly land mines. This measurement system …
surfaces of buried magnetic materials, particularly land mines. This measurement system …
Landmine detection using the discrete spectrum of relaxation frequencies
MH Wei, WR Scott, JH McClellan - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Several landmine detection techniques using electromagnetic induction (EMI) sensors have
been proposed in the past decade. In this paper, we propose a class of detection techniques …
been proposed in the past decade. In this paper, we propose a class of detection techniques …