公开(公告)号：US20170003416A1

公开(公告)日：2017-01-05

申请号：US15106703

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Wenxuan MA ,  Cen LU ,  Longwei HAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG ,  Hu ZHU

IPC: G01V8/10

CPC classification number: G01V8/10 ,  G01J5/10 ,  G01V8/02 ,  G06T5/001 ,  G06T7/0004 ,  G06T7/70

Abstract: The present invention provides a method for infrared imaging detection and positioning of an underground tubular facility in a plane terrain. Demodulation processing is performed on an original infrared image formed after stratum modulation is generated on the underground tubular facility according to an energy diffusion Gaussian model of the underground tubular facility, so as to obtain a target image of the underground tubular facility. The method comprises: obtaining an original infrared image g formed after stratum modulation is generated on an underground tubular facility; setting an initial value h0 of a Gaussian thermal diffusion function according to the original infrared image g; using the original infrared image g as an initial target image f0, and performing, according to the initial value h0 of the Gaussian thermal diffusion function, iteration solution of a thermal diffusion function hn and a target image fn by by using a single-frame image blind deconvolution method based on a Bayesian theory; and determining whether an iteration termination condition is met, and if the iteration termination condition is met, determining that the target image fn obtained by means of iteration solution this time is a final target image f; and if the iteration termination condition is not met, continuing the iteration calculation. By means of the method, the display of the infrared image of the original underground tubular facility is clearer, and the real structure of the underground tubular facility can also be inverted.

Abstract translation: 本发明提供了一种用于在平面地形中的地下管状设备的红外成像检测和定位的方法。 对根据地下管状设备的能量扩散高斯模型在地下管状设备上产生地层调制之后形成的原始红外图像进行解调处理，以获得地下管式设备的目标图像。 该方法包括：获得在地下管道设备上产生地层调制之后形成的原始红外图像g; 根据原始红外图像g设置高斯热扩散函数的初始值h0; 使用原始红外图像g作为初始目标图像f0，并且根据高斯热扩散函数的初始值h0，通过使用单帧图像执行热扩散函数hn和目标图像fn的迭代解 基于贝叶斯理论的盲解卷积方法; 并且确定是否满足迭代终止条件，并且如果满足迭代终止条件，则确定本次通过迭代解决方案获得的目标图像fn是最终目标图像f; 并且如果不满足迭代终止条件，则继续进行迭代计算。 通过该方法，原始地下管道设备的红外图像显示更加清晰，地下管道设施的实际结构也可以反转。

公开(公告)号：US20160321788A1

公开(公告)日：2016-11-03

申请号：US15022872

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Gang ZHOU ,  Ao ZHONG ,  Liangliang WANG ,  Ming LI ,  Cen LU ,  Wen ZHANG ,  Zhiyong ZUO

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T5/00 ,  G06T2207/20004 ,  G06T2207/20012 ,  G06T2207/20056

Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=∇xu and d3=∇yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process. Compared with the prior art, the present invention obtains a new direction-adaptive cost function by introducing local direction information into a maximum a posteriori algorithm, solves a problem of edges of an image restored by traditional TV regularization terms being blurred, and can restore images of complex blurring types or images with abundant textures.

Abstract translation: 本发明公开了一种方向自适应图像去模糊方法，包括以下步骤：（1）通过方向自适应总变异规则化定义去除图像的最小成本函数; （2）通过辅助变量d1 = Hu，d2 =∇xu和d3 =∇yu将步骤（1）中的无约束最小化问题转换为约束问题; （3）通过引入惩罚条件，在步骤（2）从约束问题中获得新的最小成本函数; 和（4）将步骤（3）中的最小化问题转换为关于u，d1，d2和d3的交替最小化问题，其中确定变量的最小值作为其他变量，并且通过求解交替 通过替代和迭代最小化过程的最小化问题。 与现有技术相比，本发明通过将局部方向信息引入到最大后验算法中来获得新的方向自适应成本函数，解决了由传统TV正则化项被模糊而恢复的图像的边缘的问题，并且可以恢复图像 复杂的模糊类型或具有丰富纹理的图像。

公开(公告)号：US20150248579A1

公开(公告)日：2015-09-03

申请号：US14714232

申请日：2015-05-15

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Li ZHANG ,  Fan PENG ,  Heng YAO ,  Cen LU ,  Yayun ZHENG ,  Yaxun WEI ,  Cong XIAO

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/60 ,  G06K9/32

CPC classification number: G06K9/00201 ,  G06K9/00208 ,  G06K9/0063 ,  G06K9/00637 ,  G06K9/00697 ,  G06K9/3241 ,  G06K9/40 ,  G06K9/6222 ,  G06T7/12 ,  G06T7/155 ,  G06T7/73 ,  G06T2207/10004 ,  G06T2207/10032 ,  G06T2207/20036 ,  G06T2207/30181 ,  G06T2207/30184 ,  G06T2207/30212

Abstract: A method for identifying and positioning a building using mountain-based outline region restraint, including steps of: (1) obtaining a real-time image, detecting a mountain-based outline of the real-time image, and extending the mountain-based outline thereby obtaining a mountain-based outline restraint region, (2) conducting morphological enhancement and background suppression on the image in the mountain-based outline restraint region, (3) conducting recursive segmentation in the mountain-based outline restraint region thereby transforming an image obtained in step (2) into a binary image, (4) extracting local regions of interest of a target building in the mountain-based outline restraint region according to the binary image, and (5) directly identifying and positioning the target building in the local regions of interest.

Abstract translation: 一种使用山地轮廓区域约束识别和定位建筑物的方法，包括以下步骤：（1）获得实时图像，检测实时图像的山地轮廓，并延伸山基轮廓 从而获得山基轮廓约束区域，（2）对山体轮廓约束区域中的图像进行形态学增强和背景抑制，（3）在山体轮廓约束区域进行递归分割，从而变换所获得的图像 在步骤（2）中成为二进制图像，（4）根据二值图像提取基于山体轮廓约束区域的目标建筑物的局部区域，并且（5）在目标建筑物中直接识别和定位 感兴趣的地区

公开(公告)号：US20160371841A1

公开(公告)日：2016-12-22

申请号：US15106686

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Longwei HAO ,  Wenxuan MA ,  Cen LU ,  Heng YAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06T7/00 ,  G06K9/46 ,  G06T7/60 ,  G01V9/00

CPC classification number: G06T7/73 ,  G01V9/005 ,  G06K9/0063 ,  G06K9/4652 ,  G06K9/4661 ,  G06T5/008 ,  G06T5/30 ,  G06T7/60 ,  G06T2207/10032 ,  G06T2207/10048

Abstract: A zonal underground structure detection method based on sun shadow compensation is provided, which belongs to the crossing field of remote sensing technology, physical geography and pattern recognition, and is used to carry out compensation processing after a shadow is detected, to improve the identification rate of zonal underground structure detection and reduce the false alarm rate. The present invention comprises steps of acquiring DEM terrain data of a designated area, acquiring an image shadow position by using DEM, a solar altitude angle and a solar azimuth angle, processing and compensating a shadow area, and detecting a zonal underground structure after the shadow area is corrected. In the present invention, the acquired DEM terrain data is used to detect the shadow in the designated area; and the detected shadow area is processed and compensated, to reduce influence of the shadow area on zonal underground structure detection; finally, the zonal underground structure is detected by using a remote sensing image after shadow compensation, so that the accuracy of zonal underground structure detection is improved and the false alarm rate is reduced compared with zonal underground structure detection using a remote sensing image without shadow compensation processing.

Abstract translation: 提供了一种基于太阳影子补偿的区域性地下结构检测方法，属于遥感技术交叉领域，物理地理和模式识别，用于在检测到阴影后进行补偿处理，提高识别率 区域地下结构检测，降低误报率。 本发明包括以下步骤：获取指定区域的DEM地形数据，通过使用DEM，太阳高度角和太阳方位角获取图像阴影位置，处理和补偿阴影区域，以及在阴影之后检测区域地下结构 区域被更正。 在本发明中，获取的DEM地形数据用于检测指定区域中的阴影; 并对被检测的阴影区域进行处理和补偿，以减少阴影区域对区域地下结构检测的影响; 最后，通过在阴影补偿后使用遥感图像来检测区域性地下结构，从而提高了区域地下结构检测的准确性，并且与使用无影像补偿的遥感图像的区域性地下结构检测相比，误报率降低 处理。

公开(公告)号：US20160321795A1

公开(公告)日：2016-11-03

申请号：US15105456

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Longwei HAO ,  Cen LU ,  Wenxuan MA ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06T7/00 ,  G01J5/10

CPC classification number: G06T7/70 ,  G01J5/10 ,  G01J2005/0077 ,  G06T5/001 ,  G06T2207/10048 ,  G06T2207/20076

Abstract: An infrared imaging detection and positioning method for an underground building in a planar land surface environment comprises: obtaining an original infrared image g0 formed after stratum modulation is performed on an underground building, and determining a local infrared image g of a general position of the underground building in the original infrared image g0; setting an iteration termination condition, and setting an initial value h0 of a Gaussian thermal diffusion function; using the local infrared image g as an initial target image f0, and performing iteration solution of a thermal expansion function hn and a target image fn by using a maximum likelihood estimation algorithm according to the initial value h0 of the Gaussian thermal diffusion function; and determining whether the iteration termination condition is met, if the iteration termination condition is met, using the target image fn obtained by means of iteration solution this time as a final target image f; and if the iteration termination condition is not met, continuing to perform iteration calculation. In the method, by performing demodulation processing on the infrared image formed after stratum modulation is performed on the underground building, the display of the infrared image of the original underground building is clearer, and the real structure of the underground building can be inverted.

Abstract translation: 一种用于平面地面环境中的地下建筑物的红外成像检测和定位方法包括：获得在地下建筑物上进行地层调制之后形成的原始红外图像g0，以及确定地下总体位置的局部红外图像g 建立在原来的红外图像g0; 设置迭代终止条件，并设置高斯热扩散函数的初始值h0; 使用本地红外图像g作为初始目标图像f0，并且通过使用根据高斯热扩散函数的初始值h0的最大似然估计算法来执行热膨胀函数hn和目标图像fn的迭代解; 并且如果满足迭代终止条件，则使用通过迭代解决方案获得的目标图像fn作为最终目标图像f来确定迭代终止条件是否满足; 并且如果不满足迭代终止条件，则继续进行迭代计算。 在该方法中，通过对对地下建筑物进行地层调制后形成的红外图像进行解调处理，原始地下建筑物的红外图像的显示更清晰，地下建筑物的实际结构可以反转。

公开(公告)号：US20160364509A1

公开(公告)日：2016-12-15

申请号：US15106693

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Wenxuan MA ,  Longwei HAO ,  Cen LU ,  Heng YAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06F17/50 ,  G06T17/05 ,  G06T17/00 ,  G06F17/13

CPC classification number: G06F17/5009 ,  G01V99/005 ,  G06F17/13 ,  G06F17/5004 ,  G06F17/5018 ,  G06F2217/16 ,  G06T17/005 ,  G06T17/05

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。

公开(公告)号：US20160356920A1

公开(公告)日：2016-12-08

申请号：US15114651

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Cen LU ,  Yuehuan WANG ,  Weidong YANG ,  Nong SANG ,  Wenxuan MA ,  Longwei HAO

IPC: G01V9/00 ,  G01C21/00

CPC classification number: G01V9/005 ,  G01C21/005 ,  G06K9/00 ,  G06K9/0063 ,  G06K2009/00644

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。