Application and mathematical modeling of infrared remote sensing for mine exploration in desert zones

红外遥感在沙漠地区矿产勘查中的应用及数学建模

基本信息

  • 批准号:
    15510068
  • 负责人:
  • 金额:
    $ 2.56万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2005
  • 项目状态:
    已结题

项目摘要

Infrared thermography detects thermal energy emitted from various objective surfaces, and it is a procedure for evaluating the surface temperature nondestructively. We can diagnose and evaluate a two-dimensional temperature field having complicated shape every real-time pixel by using this technique, if an appropriate image processing technique is combined. Thus, the technique has widely been used for various applications such as engineering, medical and industrial utilizations. In this paper, the applicability of infrared sensing to nondestructive diagnosis of invisible mines installed in desert zones is numerically investigated with the aid of an appropriate mathematical modeling.The possibility of a technology which reduces the danger when removing mines is examined by applying the advantage of the infrared sensing to mine exploration for drying and desert zones. From the viewpoint of numerical simulation with an appropriate mathematical model, the followings are examined : the exploration mechanism, the exploration limit, the effects and the factors which accompany the mine exploration. As a result, the following facts are found :・The infrared mine exploration adopted solar radiation and natural environment, depending on surface emissivity and sunshine duration band, etc., there is an optimum exploring condition.・The mine exploration becomes difficult with increasing buried depth.・The demerit of this technique is that the exploration becomes difficult for the case where various contaminations are buried in soil around mines or surface emissivities variously changes. In particular, the vegetation, etc. which grow near the exploring surface becomes an obstruction when exploring jungle zones. On the other hand, in desert zones where it is easy to specify the emissivity, the infrared mine exploration will be comparatively easy to use.
红外热成像检测从各种物体表面发射的热能,它是一种非破坏性地评估表面温度的方法。如果结合适当的图像处理技术,我们可以使用这种技术来诊断和评估具有复杂形状的二维温度场的实时每个像素。因此,该技术已广泛用于各种应用,例如工程、医疗和工业应用。本文借助于一个适当的数学模型,数值研究了红外探测对沙漠地区隐形地雷的无损诊断的适用性,探讨了将红外探测的优点应用于干旱和沙漠地区探雷,从而降低排雷危险的技术的可能性。本文从数值模拟的观点出发,采用适当的数学模型,对矿山的勘探机理、勘探极限、影响因素和伴随矿山勘探的因素进行了研究。结果表明:·红外探矿采用太阳辐射和自然环境,依据地表发射率和日照时数波段等,存在一个最佳勘探条件。随着埋深的增加,矿山勘探变得困难。·该技术的缺点是,在矿山周围土壤中埋藏着各种污染物或地表放射性发生不同变化的情况下,勘探变得困难。特别是,当探索丛林地带时,生长在探索表面附近的植被等成为障碍。另一方面,在容易确定发射率的沙漠地区,红外线探雷将比较容易使用。

项目成果

期刊论文数量(35)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Infrared Nondestructive Diagnosis and Its Application
红外无损诊断及其应用
Application and Mathematical Modelling of Infrared Remote Sensing for Mine Exploration in Desert Zones
红外遥感在沙漠地区矿产勘查中的应用及数学建模
乾燥・砂漠地帯の地雷探査に向けた赤外線リモートセンシングの応用
红外遥感在干旱荒漠地区探雷中的应用
Application and Mathematical Modeling of Infrared Remote Sensing for Mine Exploration in Desert Zone
红外遥感在沙漠地区矿产勘查中的应用及数学建模
Application and Mathematical Modeling of Infrared Remote Sensing for Mine Exploration in Desert Zones
红外遥感在沙漠地区矿产勘查中的应用及数学建模
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INAGAKI Terumi其他文献

Study on thermal transport mechanism of phase change thermal storage exchange system
相变蓄热交换系统传热机理研究

INAGAKI Terumi的其他文献

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{{ truncateString('INAGAKI Terumi', 18)}}的其他基金

Study on thermal transport mechanism of phase change thermal storage exchange system
相变蓄热交换系统传热机理研究
  • 批准号:
    15K00632
  • 财政年份:
    2015
  • 资助金额:
    $ 2.56万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Construction and comprehensive evaluation of sustainable environmental space based on the Nature technology
基于Nature技术的可持续环境空间构建与综合评价
  • 批准号:
    21510079
  • 财政年份:
    2009
  • 资助金额:
    $ 2.56万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Establishment of the Design Manual for the Sustainable Environmental Space Using Nature Technology
利用自然技术建立可持续环境空间设计手册
  • 批准号:
    19510080
  • 财政年份:
    2007
  • 资助金额:
    $ 2.56万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

相似海外基金

Machine learning for mine exploration target discovery
用于矿山勘探目标发现的机器学习
  • 批准号:
    500218-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 2.56万
  • 项目类别:
    Engage Grants Program
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