Vegetation Mapping for Landmine Detection Using Long-Wave Hyperspectral Imagery

Zare, Alina; Bolton, Jeremy; Gader, Paul D.; Schatten, Miranda A.

doi:10.1109/tgrs.2007.906438

Cited by 44 publications

(23 citation statements)

References 15 publications

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“…Some attempts have been made to apply remote sensing and GIS analysis in the field of mine action, mainly focusing on sensors that detect individual ERW through the use of satellite data (Witmer and O'Loughlin 2009), hyperspectral imaging (Zare et al 2008, Wong, 2009) or ground-penetrating radar (Havens et al 2009). Benini (2000) and Benini et al (2003) Alegría et al is the most similar to our study, it differs from our work in several important respects.…”

Section: Methodsmentioning

confidence: 99%

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Methods for visualizing the explosive remnants of war

Lacroix

Herzog

Eriksson³

et al. 2013

Applied Geography

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This study aimed to answer the question how GIS can help decision makers visualize the problem of contamination by explosive remnants of war (ERW). We thus explored a set of six cartographic visualization methods and systematically evaluated their usefulness with respect to four categories of stakeholders in the humanitarian demining process (i.e., database administrators, operations officers, directors of national mine action authorities, and donors) at four geographical scales, ranging from municipal to global. The main application of our work is for stakeholders involved in humanitarian demining. We provide them with a comprehensive framework for visualizing ERW hazards at the geographical scale at which they have to make decisions, as well as customized cartographic visualization tools and recommendations to help them make informed decisions. For example, we provide potential donors with a method for obtaining a global overview of ERW contamination while remaining aware of regional variation and hot spots. We also enhance cartographic visualization capabilities using traditional kernel density estimation by customizing key parameters. Specifically, we propose a method for adjusting kernel bandwidth for datasets with highly heterogeneous spatial distributions and a method for generating kernel surfaces from polygon data that consists of infilling the polygons with points before using them as inputs in the kernel density estimation.

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Section: Methodsmentioning

confidence: 99%

“…Consequently, methods for detecting contamination or collecting data on potential unknown contamination, such as remote sensing, are excluded from the paper. Such methods are well addressed in the work of other authors, e.g., Zare et al (2008) and Witmer and O'Loughlin (2009).…”

Section: Introductionmentioning

confidence: 99%

Methods for visualizing the explosive remnants of war

Lacroix

Herzog

Eriksson³

et al. 2013

Applied Geography

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“…Applications of hyperspectral thermal infrared data include numerous geologic, geothermally altered and surface mineral mapping [138,[148][149][150][151][152][153], anomaly detection [154], acid sulfate runoff [155], vegetation characteristics [156,157], gaseous effluents [158][159][160][161][162] and landmine detection [157,163].…”

Section: Thermal Infrared Applicationsmentioning

confidence: 99%

Visible and Infrared Remote Imaging of Hazardous Waste: A Review

et al. 2010

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Abstract:One of the critical global environmental problems is human and ecological exposure to hazardous wastes from agricultural, industrial, military and mining activities. These wastes often include heavy metals, hydrocarbons and other organic chemicals. Traditional field and laboratory detection and monitoring of these wastes are generally expensive and time consuming. The synoptic perspective of overhead remote imaging can be very useful for the detection and remediation of hazardous wastes. Aerial photography has a long and effective record in waste site evaluations. Aerial photographic archives allow temporal evaluation and change detection by visual interpretation. Multispectral aircraft and satellite systems have been successfully employed in both spectral and morphological analysis of hazardous wastes on the landscape and emerging hyperspectral sensors have permitted determination of the specific contaminants by processing strategies using the tens or hundreds of acquired wavelengths in the solar reflected and/or thermal infrared parts of the electromagnetic spectrum. This paper reviews the literature of remote sensing and overhead imaging in the context of hazardous waste and discusses future monitoring needs and emerging scientific research areas.

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“…Historically, different types of radar detection were used but recent trends involve fusion of, for example, radar data with hyperspectral data [96]. Zare et al [97] used long-wave hyperspectral data in combination with SAR data. They showed that vegetation mapping in combination with mine detection algorithms could minimize false alarms due to vegetation forms (round bushes), otherwise mistaken for mines.…”

Section: War and Conflict Studiesmentioning

confidence: 99%

Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25~!

Hall¹

2010

TORMSJ

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Abstract:Since the early days of satellite remote sensing in the 1950's, accessibility, quality, and scope of remote sensing image data has been continuously improving, making it a rich data source with a wide range of applications. Today, the use of remote sensing techniques and data is commonplace within many disciplines in the natural sciences. Although there are quite a few examples of remote sensing to be found in the social sciences, developments here have, on the whole, been less pronounced. This paper investigates 1) how remote sensing data has been put to use in social science studies, and 2) how social science could better utilize the huge potential of remote sensing data. The first part of the paper gives an overview of existing types of remote sensing techniques and data collection. The second part consistsof a review of social science applications of remote sensing data. In the conclusions it is argued that remote sensing data is at its most valuable in the social sciences when used in combination with traditional methods such as surveys, public records, interviews and direct observation.

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Vegetation Mapping for Landmine Detection Using Long-Wave Hyperspectral Imagery

Cited by 44 publications

References 15 publications

Methods for visualizing the explosive remnants of war

Methods for visualizing the explosive remnants of war

Visible and Infrared Remote Imaging of Hazardous Waste: A Review

Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25~!

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