Detecting and locating landmine fields from vehicle- and air-borne measured IR Images

Gu, Irene Yu‐Hua; Tjahjadi, Tardi

doi:10.1016/s0031-3203(02)00020-1

Cited by 11 publications

(3 citation statements)

References 19 publications

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“…Five participants (1,2,4,8,9) had both selection and rejection techniques that focused on the characteristics of the entire minefield. This did not mean that they completely ignored the individual mines; however, these participants integrated the mine level techniques into their focus on the entire minefield.…”

Section: Typesmentioning

confidence: 99%

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Warfighter-in-the-loop: mental models in airborne minefield detection

et al. 2005

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The warfighter analyst in the data processing ground control station plays an integral role in airborne minefield detection system. This warfighter-in-the-loop (WIL) is expected to reduce the minefield false alarm rate by a factor of 5. In order to achieve such a significant false alarm reduction and to facilitate the development of an efficient WIL interface, it is critical to evaluate different aspects of WIL operations for airborne minefield detection. Recently, researchers at the University of Missouri -Rolla have developed a graphical user interface (HILMFgui) application using MATLAB to evaluate minefield detection performance for the operator. We conducted a series of controlled experiments with HILMFgui using ten participants. In these experiments, we video-recorded all the experiments and conducted post-experiment interviews to learn more about the usability of the interface and the cognitive processes involved in minefield detection. The effect of various factors including the availability of automatic target recognition (ATR), availability of zoom and time constraints were considered to evaluate their influence on operator performance. Qualitative results of the factors affecting the warfighter performance in the minefield detection loop are discussed. Through the qualitative data analysis, we observed two different types of participants (classified here as aggressive and cautious). We also identified three primary types of mental models: mine centric, mine-field centric, and logical placement. Those who used a primarily mine focus had a substantially higher false alarm rate than those whose mental models were more consistent with a mine-field centric or logical placement perspective.

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Section: Typesmentioning

confidence: 99%

“…In the past, minefield detection techniques have ranged from specially built bull dozers used to explode mines to soldiers probing with handheld mine detectors [1]. The traditional minefield detection techniques have two distinct disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Warfighter-in-the-loop: mental models in airborne minefield detection

et al. 2005

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“…A few studies have already been made about infrared landmine detection (Clark et al, 1993;Maad et al, 1995;Christiansen and Ringberg, 1996;Sjökvist et al, 1998;Georgson et al, 1998;Schachne et al, 1998;López et al, 2000a;López et al, 2000b;Lundberg, 2000;Kempinger et al, 2001;Lundberg, 2001;Shimoi et al, 2001;Wasaki et al, 2001;Svensson and Lundberg, 2001;Hosgood et al, 2001;Khanafer and Vafai, 2002;Svensson and Lundberg, 2002;López et al, 2002;Vavilov and Klimov, 2002;Gu and Tjahjadi, 2002;López et al, 2004). By means of simulations and experiments it was shown that a landmine can be detected by thermographic methods in many practical situations.…”

Section: Introductionmentioning

confidence: 99%

Scale reduction in modeling landmine detection by IR thermography

Muscio

Tarozzi

Corticelli

2007

Quantitative InfraRed Thermography Journal

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A method has been proposed to reproduce in the laboratory experiments of infrared landmine detection with reduced length-and time-scale. In this work, the method is verified experimentally.Models of landmines are purposely built by a rapid prototyping technique. The surface response of the soil-landmine system is then monitored by an infrared camera. Preliminarily, the response measured above full-scale models is cross-checked against that measured above actual landmines. Full-scale and reduced-scale models are subsequently tested outdoors and in the laboratory, respectively. The measured distribution and time-evolution patterns of surface temperature are eventually compared, in order to assess the reliability of the scale reduction method.

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Enhanced Landmine Detection from Low Resolution IR Image Sequences

Wang

Tjahjadi

2009

Computer Analysis of Images and Patterns

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Detecting and locating landmine fields from vehicle- and air-borne measured IR Images

Cited by 11 publications

References 19 publications

Warfighter-in-the-loop: mental models in airborne minefield detection

Warfighter-in-the-loop: mental models in airborne minefield detection

Scale reduction in modeling landmine detection by IR thermography

Enhanced Landmine Detection from Low Resolution IR Image Sequences

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