METHOD FOR SIMULATING TEMPERATURE FIELD OF DISTRIBUTED UNDERGROUND FACILITY IN MOUNTAIN MASS
    32.
    发明申请
    METHOD FOR SIMULATING TEMPERATURE FIELD OF DISTRIBUTED UNDERGROUND FACILITY IN MOUNTAIN MASS 审中-公开
    模拟山区分布式地下设施温度场的方法

    公开(公告)号:US20160364509A1

    公开(公告)日:2016-12-15

    申请号:US15106693

    申请日:2015-02-10

    Abstract: The present invention discloses a method for stimulating a temperature field of a mountain mass containing a distributed underground facility under the influence of a seepage effect. The method comprises the following steps: establishing three-dimensional geometric models of the mountain mass and the underground facility by using contour line data extracted from elevation information, equating a seepage field with randomly and uniformly distributed “capillary tubes” of the mountain mass, abstracting mountain mass data to be a multi-way tree having a hierarchical structure, and precisely calculating the height of each “capillary tube” by using an algorithm of determining whether a point is in a closed graphic in computer graphics, thereby establishing a geometric model of an equivalent seepage field in the geometric model of the mountain mass; then, finding, through a programmed design, information about surfaces of the constructed underground facility and the “capillary tubes” by using a configuration file generated by ANSYS, and stimulating the temperature field of the mountain mass containing the distributed underground facility under the influence of the seepage field.

    Abstract translation: 本发明公开了一种在渗透作用下刺激含有分布式地下设施的山体温度场的方法。 该方法包括以下步骤:通过使用从高程信息中提取的轮廓线数据,建立山体和地下设施的三维几何模型,将渗流场等同于山体随机均匀分布的“毛细管”,抽象 山体质量数据成为具有层次结构的多向树,并且通过使用确定点在计算机图形中的闭合图形的算法来精确地计算每个“毛细管”的高度,由此建立几何模型 山体几何模型中的等效渗流场; 然后,通过编程设计,通过使用ANSYS生成的配置文件,通过使用ANSYS生成的配置文件,找出构建的地下设施表面和“毛细管”的信息,并在包含分布式地下设施的山体温度场的影响下, 渗流场。

    METHOD FOR DETECTING ZONAL UNDERGROUND TARGET IN MOUNTAIN LAND BASED ON RIDGE ENERGY CORRECTION
    33.
    发明申请
    METHOD FOR DETECTING ZONAL UNDERGROUND TARGET IN MOUNTAIN LAND BASED ON RIDGE ENERGY CORRECTION 有权
    基于河流能量校正检测山地地区地下目标的方法

    公开(公告)号:US20160356920A1

    公开(公告)日:2016-12-08

    申请号:US15114651

    申请日:2015-02-10

    Abstract: The present invention discloses a method for detecting, recognizing, and positioning a zonal underground target in a mountain land environment by detecting a ridge position in the mountain land environment and carrying out energy correction. The method belongs to the interdisciplinary field of pattern recognition, remote sensing technology and terrain analysis. The zonal underground target can cause energy abnormity when the heat field thereof is different from that of a mountain mass, and the heat island effect of the ridge can also cause the energy of the mountain mass to be abnormal. However, the energy abnormity caused by the heat island effect is essentially different from the energy abnormity caused by the zonal underground target in the aspect of mode. Therefore, the present invention aims to achieve an effect of reducing a false alarm rate of detecting and recognizing a zonal underground target in the mountain land environment by eliminating the influence of the heat body effect generated by the ridge in the terrain on the weak energy abnormity mode presented by the zonal underground target. The present invention comprises steps of acquiring digital elevation information of terrain, performing de-noising pretreatment on the digital elevation information, detecting a ridge line, correcting energy at the ridge position, and detecting the zonal underground target.

    Abstract translation: 本发明公开了一种通过检测山地环境中的山脊位置并进行能量校正来检测,识别和定位山地环境中的地带地下目标的方法。 该方法属于模式识别,遥感技术和地形分析的跨学科领域。 当区域地下目标的热场与山体的热场不同时,能够引起能量异常,山脊的热岛效应也可能导致山体的能量异常。 然而,热岛效应引起的能量异常与模式方面的地带地下目标引起的能量异常基本上不同。 因此,本发明的目的是通过消除地形中由山脊产生的热体效应对弱能异常的影响,来实现降低山地环境中检测和识别地带地下目标的误报率的效果 由地带地下目标提出的模式。 本发明包括以下步骤:获取地形的数字高程信息,对数字高程信息进行去噪预处理,检测脊线,校正脊位置的能量,以及检测地带的地下目标。

    DETECTING DEVICE AND METHOD COMBINING IMAGES WITH SPECTRUMS IN ULTRA-WIDE WAVEBAND
    34.
    发明申请
    DETECTING DEVICE AND METHOD COMBINING IMAGES WITH SPECTRUMS IN ULTRA-WIDE WAVEBAND 有权
    检测设备和方法将图像与超声波波段的光谱组合

    公开(公告)号:US20160202122A1

    公开(公告)日:2016-07-14

    申请号:US14902271

    申请日:2015-02-10

    CPC classification number: G01J3/2823 G01B11/002 G01J3/0208 G01J3/021 G01J3/36

    Abstract: The invention discloses a detecting device combining images with spectra in an ultra-wide waveband, comprising a scanning rotating mirror, a Cassegrain mirror assembly, three spectroscopes, a reflector, four broadband lens assemblies, a visible and near-infrared lens assembly, a long wave lens assembly, a CCD imaging unit, an FPA imaging unit, a Fourier spectrum measuring unit and a grating spectrum measuring unit. The invention is able to recognize a target accurately by spectrum measurement under the guidance of a preliminary recognition process by imaging in visible, near-infrared and long wave infrared wavebands and can solve the problems of incomplete waveband imaging, restricted optical layout, large device size, and poor ability to detect moving objects and dynamic behaviors in prior art. The invention features small size, high integration and being convenient and flexible to use, and can realize image and spectrum detection of moving objects and dynamic behaviors in an ultra-wide waveband and switch a tracking and recognition process for different targets automatically and therefore can be widely used in national economy and national security.

    Abstract translation: 本发明公开了一种在超宽波段内组合图像与光谱的检测装置,包括扫描旋转镜,卡塞格林镜组件,三个分光镜,反射器,四个宽带透镜组件,可见光和近红外透镜组件,长 波长透镜组件,CCD成像单元,FPA成像单元,傅立叶频谱测量单元和光栅光谱测量单元。 本发明能够通过在可见光,近红外和长波红外波段成像的初步识别过程的指导下,通过光谱测量精确地识别目标,可以解决不完整的波段成像,限制光学布局,大尺寸的设备尺寸 在现有技术中检测移动物体和动态行为的能力差。 本发明的特点是体积小,集成度高,使用方便灵活,可以实现超宽波段移动物体和动态行为的图像和频谱检测,自动切换不同目标的跟踪识别过程,因此可以 广泛应用于国家经济和国家安全。

    METHOD FOR ITERATIVELY EXTRACTING MOTION PARAMETERS FROM ANGIOGRAPHY IMAGES
    35.
    发明申请
    METHOD FOR ITERATIVELY EXTRACTING MOTION PARAMETERS FROM ANGIOGRAPHY IMAGES 审中-公开
    用于从摄影图像中迭代提取运动参数的方法

    公开(公告)号:US20160189394A1

    公开(公告)日:2016-06-30

    申请号:US14960461

    申请日:2015-12-07

    Abstract: A method for extracting motion parameters from angiography images using a multi-parameter model. The method includes: 1) extracting I vascular structural feature points automatically from a medical image of an angiography image sequence, and auto-tracking the feature points respectively in the angiography image sequence to obtain a tracking sequence of each feature point; 2) performing a discrete Fourier transformation on the tracking sequence of each feature point to obtain a discrete Fourier transformation result; initializing an iterative parameter, and obtaining amplitude range and frequency range of each frequency point of the discrete Fourier transformation result; 3) performing a Fourier transformation on a tracking sequence of each frequency point in the amplitude range and the frequency range thereof to obtain Fourier transformation results; and 4) performing an inverse Fourier transformation on the Fourier transformation results, and obtaining an estimated minimum mean square error of each frequency point.

    Abstract translation: 一种使用多参数模型从血管造影图像中提取运动参数的方法。 该方法包括:1)从血管造影图像序列的医学图像自动提取I血管结构特征点,并在血管造影图像序列中自动跟踪特征点,获得每个特征点的跟踪序列; 2)对每个特征点的跟踪序列执行离散傅里叶变换以获得离散傅里叶变换结果; 初始化迭代参数,并获得离散傅立叶变换结果的每个频点的幅度范围和频率范围; 3)对振幅范围及其频率范围内的每个频点的跟踪序列执行傅里叶变换,以获得傅里叶变换结果; 以及4)对所述傅立叶变换结果执行逆傅立叶变换,并且获得每个频点的估计的最小均方误差。

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