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Hal
Doctoral thesis . 2017
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Hyperspectral Imaging for Landmine Detection

Authors: MAKKI, IHAB;

Hyperspectral Imaging for Landmine Detection

Abstract

Cette thèse de doctorat vise à étudier la possibilité de détecter les mines terrestres en utilisant l'imagerie hyperspectrale. En utilisant cette technologie, nous sommes capables d'acquérir à chaque pixel de l'image des données spectrales dans des centaines de longueurs d'onde. Ainsi, à chaque pixel, nous obtenons un spectre de réflectance qui est utilisé comme empreinte digitale pour identifier les matériaux dans chaque pixel, et principalement dans notre projet nous aider à détecter la présence de mines terrestres.Cette technologie présente des avantages par rapport aux techniques classiqument utilisées:• Elle est plus sûre car il limite les besoins des humains dans le processus de recherche et donne l'occasion à l'équipe de déminage de détecter les mines alors qu'elles se trouvent dans une région sûre.• Elle est plus rapide. Une zone plus grande pourrait être nettoyée en une seule journée par comparaison avec les techniques de déminage classiques.• Cette technique peut être utilisée pour détecter en même temps des objets autres que les mines tels que l'huile ou les minéraux.

This PhD thesis aims at investigating the possibility to detect landmines using hyperspectral imaging. Using this technology, we are able to acquire at each pixel of the image spectral data in hundreds of wavelengths. So, at each pixel we obtain a reflectance spectrum that is used as fingerprint to identify the materials in each pixel, and mainly in our project help us to detect the presence of landmines.This technology has advantages over the actually used techniques: • It is safer because it limits the need of humans in the searching process and gives the opportunity to the demining team to detect the mines while they are in a safe region. • It is faster. A larger area could be cleared in a single day by comparison with demining techniques • This technique can be used to detect at the same time objects other than mines such oil or minerals.

Country
Italy
Related Organizations
Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Detection, Hyperspectral imaging, Landmine detection, Remote sensing., Landmines, Hyperspectral Image, Image Hyperspectrale, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Mines de Terre, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green