Temporal method for IR minefield feature detection

Sjökvist, Stefan; Linderhed, Anna; Nyberg, Sten; Uppsäll, Magnus

doi:10.1117/12.542395

Cited by 2 publications

(2 citation statements)

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“…The initial air temperature is set to 293 K and bottom nodes' initial temperature is set to 291.8 K. The test areas' geographic information and thermal values are given in Table 2. [9], [38] are given in Table 3. Soils' thermal properties and densities [38], [39] are given in Table 4.…”

Section: Boundary and Initial Conditionsmentioning

confidence: 99%

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Buried and Surface Mine Detection From Thermal Image Time Series

Kaya

Leloglu

2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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, 117 pages Since many countries suffer from existence of landmines in their territory, there is a growing demand for reliable landmine detection systems. Most of these systems require an operator to enter into the minefield. However, infrared sensor methods can be used remotely; hence, they do not put lives at risk during the search operation. In this thesis, a new approach to the infrared sensor method, which gives promising results, is presented. Buried landmines generate specific spatiotemporal thermal image patterns on the surface. Noise-reduced thermal image time series were used after preprocessing with a circularly symmetric filter different from other studies. Supervised classification methods (Support Vector Machine, Mahalanobis Discriminant Analysis, Quadratic Discriminant Analysis, and K-Nearest Neighbor) are applied on the filtered image series. Proposed method gives promising solutions that were verified with enlarged data sets. Different parameters (humidity, burial depths, training sample sizes, time intervals, seasons, spatial filter's sizes etc.) influences on the solutions were examined. To find the vi most useful time intervals, a 2-D heat transfer simulation was performed. Particularly using image series within nighttime, sunrise, and sunset times allow finding fourcentimeter deep plastic and 6.8-centimeter deep metal practice landmines with the proposed method. The best solutions were got with the 50-pixel outer diameter spatial filter and the 24-sample on this diameter. Detection rates were calculated higher in quasi-humid soil than dry soil.

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Section: Boundary and Initial Conditionsmentioning

confidence: 99%

“…[9], [38] are given in Table 3. Soils' thermal properties and densities [38], [39] are given in Table 4.…”

Section: Boundary and Initial Conditionsmentioning

confidence: 99%