&lt;title&gt;Phenomenology considerations for hyperspectral mine detection&lt;/title&gt;

DePersia, A. Trent; Bowman, Anu P.; Lucey, P. G.; Winter, Edwin M.

doi:10.1117/12.211312

Cited by 15 publications

(12 citation statements)

References 6 publications

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“…DePersia et al 6 reported on thermal signatures in areas with land mines. They pointed out that the localized thermal variances ofthe soil are generated by the buried landmines because landmines impact the soil moisture distribution and heat capacity as well as cause a surface disturbance during burning the mine.…”

Section: Thermal Signature Of Landminementioning

confidence: 98%

Impact of soil water content on landmine detection using radar and thermal infrared sensors

et al. 2001

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Land mfaes are a major problem in many areas of the world. In spite of the fact that many different types of land mines sensors have been developed, the detection of non-metallic land mines remains very difficult. Most landmine detection sensors are affected by soil properties such as water content, temperature, electrical conductivity and dielectric constant. The most important of these is water content since it directly influences the three other properties. In this study, the ground penetrating radar and thermal infiwed sensors were used to identify non-metallic landmines ui different soil and water content conditions.

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Section: Thermal Signature Of Landminementioning

confidence: 98%

Impact of soil water content on landmine detection using radar and thermal infrared sensors

et al. 2001

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“…Disturbing the soil to emplace a mine causes a change in the density of the soil, such that it will have a lower thermal conductivity when compared to the surrounding undisturbed soil. 5 The lower thermal conductivity leads to a noticeable thermal contrast between disturbed and undisturbed soil. The surface effect is generally applicable to recently buried mines, as environmental conditions such as rain or wind, will degrade apparent temperature contrast.…”

Section: Buried Landmine Signaturesmentioning

confidence: 99%

“…4 In observing the surface effect, a broadband infrared sensor may prove to be the best approach, mimicking the common observation technique for observing apparent temperature contrast of a surface-laid mine and its background. 5 The volume effect deals with the presence of the thermal mass of a buried mine within the soil. It is observed for as long as the mine is in the soil, but reduced depending on environmental and atmospheric conditions.…”

Section: Buried Landmine Signaturesmentioning

confidence: 99%

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Surface and buried landmine scene generation and validation using the digital imaging and remote sensing image generation model

et al. 2004

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Detection and neutralization of surface-laid and buried landmines has been a slow and dangerous endeavor for military forces and humanitarian organizations throughout the world. In an effort to make the process faster and safer, scientists have begun to exploit the ever-evolving passive electro-optical realm, both from a broadband perspective and a multi or hyperspectral perspective. Carried with this exploitation is the development of mine detection algorithms that take advantage of spectral features exhibited by mine targets, only available in a multi or hyperspectral data set. Difficulty in algorithm development arises from a lack of robust data, which is needed to appropriately test the validity of an algorithm's results. This paper discusses the development of synthetic data using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. A synthetic landmine scene has been modeled after data collected at a US Army arid testing site by the University of Hawaii's Airborne Hyperspectral Imager (AHI). The synthetic data has been created and validated to represent the surrogate minefield thermally, spatially, spectrally, and temporally over the 7.9 to 11.5 micron region using 70 bands of data. Validation of the scene has been accomplished by direct comparison to the AHI truth data using qualitative band to band visual analysis, Rank Order Correlation comparison, Principle Components dimensionality analysis, and an evaluation of the R(x) algorithm's performance. This paper discusses landmine detection phenomenology, describes the steps taken to build the scene, modeling methods utilized to overcome input parameter limitations, and compares the synthetic scene to truth data.

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“…For instance, diurnal thermal fluctuations due to changing solar input throughout the day give rise to thermal contrasts at the surface, but the mechanism of heat and moisture transfer contributing to these contrasts remains unclear and unquantified. 15 Adding to this complexity is the additional influence of a buried object on both the heat and moisture transfer. 15 Since thermal imaging as a sensor modality increased in popularity in the early 2000's, multiple papers have taken to studying varying types of properties.…”

Section: Introductionmentioning

confidence: 99%

Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects

Workman¹,

Clausen²

2021

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The environmental phenomenological properties responsible for the thermal variability evident in the use of thermal infrared (IR) sensor systems is not well understood. The research objective of this work is to understand the environmental and climatological properties contributing to the temporal and spatial thermal variance of soils. We recorded thermal images of surface temperature of soil as well as several meteorological properties such as weather condition and solar irradiance of loamy soil located at the Cold Regions Research and Engineering Lab (CRREL) facility. We assessed sensor performance by analyzing how recorded meteorological properties affected the spatial structure by observing statistical differences in spatial autocorrelation and dependence parameter estimates.

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<title>Phenomenology considerations for hyperspectral mine detection</title>

Cited by 15 publications

References 6 publications

Impact of soil water content on landmine detection using radar and thermal infrared sensors

Impact of soil water content on landmine detection using radar and thermal infrared sensors

Surface and buried landmine scene generation and validation using the digital imaging and remote sensing image generation model

Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects

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