Land mine detection by infrared thermography: reduction of size and duration of the experiments

Muscio, Alberto; Corticelli, Mauro Alessandro

doi:10.1109/tgrs.2004.831443

Cited by 32 publications

(14 citation statements)

References 29 publications

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“…Notwithstanding the approximations introduced, the agreement between the temperature field predicted for full-scale outdoor tests and indoor tests with reduced size and compressed time was almost perfect [30]. A good agreement was also found between the temperature field numerically predicted and that measured in a few experiments with reduced size and compressed time, carried out by a preliminary apparatus [30]. This encouraged the development of a more advanced apparatus, which is described below.…”

Section: Dimensional Analysis and Scale Reductionmentioning

confidence: 85%

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Experiments of thermographic landmine detection with reduced size and compressed time

Muscio

Corticelli

2004

Infrared Physics & Technology

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Section: Dimensional Analysis and Scale Reductionmentioning

confidence: 85%

“…Since a flat soil was considered in previous work, the lamp source was kept fixed [30]. In this work, instead, the variable direction of the solar radiation was considered by an improved apparatus, with lamp source moving along an adjustable arc (Fig.…”

Section: Apparatus and Experimentsmentioning

confidence: 99%

Experiments of thermographic landmine detection with reduced size and compressed time

Muscio

Corticelli

2004

Infrared Physics & Technology

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“…Signal processing algorithms for handheld mine detection sensors are described in [12], where EMI and GPS are used as sensors again. There is a work that has focused on the development of tools of investigation, by which the chance of success of thermographic mine detection can be enhanced in [13]. Land mine detection may also be achieved with neutron back scattering imaging using a neutron generator [14].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Performance of Magnetic Material Identification System by SIFT–BRISK and Neural Network Methods

et al. 2015

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Industry requires low-cost, low-power consumption, and autonomous remote sensing systems for detecting and identifying magnetic materials. Magnetic anomaly detection is one of the methods that meet these requirements. This paper aims to detect and identify magnetic materials by the use of magnetic anomalies of the Earth's magnetic field created by some buried materials. A new measurement system that can determine the images of the upper surfaces of buried magnetic materials is developed. The system consists of a platform whose position is automatically controlled in x-axis and y-axis and a KMZ51 anisotropic magneto-resistive sensor assembly with 24 sensors mounted on the platform. A new identification system based on scale-invariant feature transform (SIFT)-binary robust invariant scalable keypoints (BRISKs) as keypoint and descriptor, respectively, is developed for identification by matching the similar images of magnetic anomalies. The results are compared by the conventional principal component analysis and neural net algorithms. On the six selected samples and the combinations of these samples, 100% correct classification rates were obtained. Index Terms-Binary robust invariant scalable keypoint (BRISK), identification, mine detection, neural networks, principal component analysis (PCA), scale-invariant feature transform (SIFT).Yavuz Ege received the M.S. and Ph.D. degrees from the

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“…The main concept of using thermal images is well known; it is based on the fact that mines have different thermal properties than the surrounding materials, which are especially emphasised in dawns and sunsets, where extreme temperature changes occur [2]. Therefore existing image processing techniques are able to differentiate between the target mines and the surrounding background.…”

Section: Introductionmentioning

confidence: 99%

A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data

El-Kazzaz

El-Mahdy

2015

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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This paper proposes constructing world-wide landmine maps using the free USGS satellite multispectral image archive. Although the available resolution is not suitable for detecting mines (in excess of 100m), we seek to exploit the archive's 40-years worth of earth scans, with same locations appearing hundreds of times, to significantly improve the resolution to a useful scale. This paper proposes a framework, based in iterative map-reduce programming model, for dealing with such 'big image' data. The paper presents an initial study for reconstructing well-known (large) landmarks from the USGS archive, and estimates the computation time and space complexities.

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Land mine detection by infrared thermography: reduction of size and duration of the experiments

Cited by 32 publications

References 29 publications

Experiments of thermographic landmine detection with reduced size and compressed time

Experiments of thermographic landmine detection with reduced size and compressed time

A Study on the Performance of Magnetic Material Identification System by SIFT–BRISK and Neural Network Methods

A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data

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