专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20170003416A1 METHOD FOR INFRARED IMAGING DETECTION AND POSITIONING OF UNDERGROUND TUBULAR FACILITY IN PLANE TERRAIN 审中-公开
标题翻译：红外成像检测方法和地下管线设备在平坦地带的定位
公开(公告)号：US20170003416A1
公开(公告)日：2017-01-05
申请号：US15106703
申请日：2014-09-02
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Tianxu ZHANG , Wenxuan MA , Cen LU , Longwei HAO , Yuehuan WANG , Nong SANG , Weidong YANG , Hu ZHU
IPC分类号： G01V8/10
CPC分类号： G01V8/10 , G01J5/10 , G01V8/02 , G06T5/001 , G06T7/0004 , G06T7/70
摘要： 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.
摘要翻译：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。

2. 发明申请

US20210192251A1 METHOD AND SYSTEM FOR SELECTING IMAGE REGION THAT FACILITATES BLUR KERNEL ESTIMATION 有权
公开(公告)号：US20210192251A1
公开(公告)日：2021-06-24
申请号：US16079565
申请日：2018-01-08
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Nong SANG , Lerenhan LI , Hao YAN , Changxin GAO , Luxin YAN , Shiwei ZHANG , Zhixiong PI
IPC分类号： G06K9/20 , G06K9/46
摘要： The present invention discloses a method and system for selecting an image region that facilitates blur kernel estimation, in which the method includes: calculating a relative total variation value of each pixel in a blurred image to obtain a relative total variation mapping image; setting a threshold value to determine whether respective pixel in the image is a boundary pixel or not; then sampling the blurred image and its relative total variation mapping image to obtain a series of image patches; and finally counting the number of boundary pixels in each mapping image patch and selecting out an image region that facilitates blur kernel estimation. According to the method and the system, the problems of excessive dependency on operator experience, low efficiency and the like in the existing region selection methods are effectively solved. The image region that facilitates blur kernel estimation is automatically selected out. And the method and the system are suitable for the application occasion of the blur kernel estimation in an image deblurring algorithm.

3. 发明申请

US20160364509A1 METHOD FOR SIMULATING TEMPERATURE FIELD OF DISTRIBUTED UNDERGROUND FACILITY IN MOUNTAIN MASS 审中-公开
标题翻译：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
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Tianxu ZHANG , Wenxuan MA , Longwei HAO , Cen LU , Heng YAO , Yuehuan WANG , Nong SANG , Weidong YANG
IPC分类号： G06F17/50 , G06T17/05 , G06T17/00 , G06F17/13
CPC分类号： G06F17/5009 , G01V99/005 , G06F17/13 , G06F17/5004 , G06F17/5018 , G06F2217/16 , G06T17/005 , G06T17/05
摘要： 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.
摘要翻译：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。

4. 发明申请

US20160356920A1 METHOD FOR DETECTING ZONAL UNDERGROUND TARGET IN MOUNTAIN LAND BASED ON RIDGE ENERGY CORRECTION 有权
标题翻译：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
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Tianxu ZHANG , Cen LU , Yuehuan WANG , Weidong YANG , Nong SANG , Wenxuan MA , Longwei HAO
IPC分类号： G01V9/00 , G01C21/00
CPC分类号： G01V9/005 , G01C21/005 , G06K9/00 , G06K9/0063 , G06K2009/00644
摘要： 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.
摘要翻译：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。

5. 发明申请

US20170278220A1 METHOD AND SYSTEM FOR CORRECTING AERO-OPTICAL THERMAL RADIATION NOISE 有权
公开(公告)号：US20170278220A1
公开(公告)日：2017-09-28
申请号：US15126271
申请日：2016-03-17
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Lerenhan LI , Nong SANG , Changxin GAO , Luxin YAN , Jin WANG , Shiwei ZHANG , Yuanjie SHAO , Juncai PENG
IPC分类号： G06T5/00 , G06T7/00 , G06T3/40
CPC分类号： G06T5/002 , G06T3/4007 , G06T3/4076 , G06T7/0002 , G06T2207/10048 , G06T2207/20076
摘要： The invention discloses a method for correcting aero-optical thermal radiation noise, comprising steps of: pretreating a degraded image to obtain a multi-scale degraded image group, conducting iteration process of obtaining an optimal solution by using a last scale estimation result as an original value of next scale estimation according to the multi-scale degraded image group, thereby facilitating original-scale bias field estimation, and restoring the degraded image according to the original-scale bias field estimated value thereby obtaining an image after aero-optical thermal radiation noise correction. The invention also discloses a system for correcting aero-optical thermal radiation noise. The invention is capable of solving problems with conventional methods, comprising poor correction effect, high complexity, and incapability in correcting the thermal radiation noise at an image level, and applicable to restoration of an image with aero-optical thermal radiation noise.

6. 发明申请

US20160371841A1 ZONAL UNDERGROUND STRUCTURE DETECTION METHOD BASED ON SUN SHADOW COMPENSATION 有权
标题翻译：基于SUN阴影补偿的区域地下结构检测方法
公开(公告)号：US20160371841A1
公开(公告)日：2016-12-22
申请号：US15106686
申请日：2015-02-10
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Tianxu ZHANG , Longwei HAO , Wenxuan MA , Cen LU , Heng YAO , Yuehuan WANG , Nong SANG , Weidong YANG
IPC分类号： G06T7/00 , G06K9/46 , G06T7/60 , G01V9/00
CPC分类号： G06T7/73 , G01V9/005 , G06K9/0063 , G06K9/4652 , G06K9/4661 , G06T5/008 , G06T5/30 , G06T7/60 , G06T2207/10032 , G06T2207/10048
摘要： 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.
摘要翻译：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。

7. 发明申请

US20160321795A1 INFRARED IMAGING DETECTION AND POSITIONING METHOD FOR UNDERGROUND BUILDING IN PLANAR LAND SURFACE ENVIRONMENT 有权
标题翻译：红外成像检测与定位方法在平面土地环境中的地下建筑
公开(公告)号：US20160321795A1
公开(公告)日：2016-11-03
申请号：US15105456
申请日：2014-09-02
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Tianxu ZHANG , Longwei HAO , Cen LU , Wenxuan MA , Yuehuan WANG , Nong SANG , Weidong YANG
IPC分类号： G06T7/00 , G01J5/10
CPC分类号： G06T7/70 , G01J5/10 , G01J2005/0077 , G06T5/001 , G06T2207/10048 , G06T2207/20076
摘要： 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.
摘要翻译：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。

8. 发明申请

US20210365743A1 PERSON SEARCH METHOD BASED ON PERSON RE-IDENTIFICATION DRIVEN LOCALIZATION REFINEMENT 有权
公开(公告)号：US20210365743A1
公开(公告)日：2021-11-25
申请号：US17253124
申请日：2020-06-23
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Nong SANG , Chuchu HAN , Yuanjie SHAO , Ruochen ZHENG , Changxin GAO
IPC分类号： G06K9/62 , G06K9/00 , G06K9/46 , G06T3/40 , G06T7/11 , G06T7/73 , G06N3/04
摘要： The invention discloses a person search method based on person re-identification driven localization refinement. On one hand, the region of interest (ROI) conversion module converts an original input image into a small image corresponding to a ROI, and contradiction existing in part of features shared by a person re-identification network and a detection network is avoided; and on the other hand, loss of the person re-identification network can be transmitted back to the detection network in a gradient manner through the ROI conversion module, the supervision of loss of the person re-identification network for the detection bounding box output by the detection network is realized, and the adjusted detection bounding box can effectively remove background interference, contains more useful attribute information and is more suitable for person search, so that the person search accuracy is greatly improved.

9. 发明申请

US20210248378A1 SPATIOTEMPORAL ACTION DETECTION METHOD 有权
公开(公告)号：US20210248378A1
公开(公告)日：2021-08-12
申请号：US16965015
申请日：2020-01-07
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Nong SANG , Shiwei ZHANG , Zhiyuan LI , Changxin GAO , Yuanjie SHAO
IPC分类号： G06K9/00 , G06T3/00 , G06T7/207 , G06T7/215 , G06T3/40
摘要： A spatiotemporal action detection method includes performing object detection on all frames of a sample video to obtain a candidate object set; calculating all interframe optical flow information on the sample video to obtain a motion set; constructing a spatiotemporal convolution-deconvolution network of an attention mechanism and a motion attention mechanism of an additional object; adding both a corresponding sparse variable and a sparse constraint to obtain a network structure S after performing spatiotemporal convolution processing on each time segment of the sample video; training the network structure S with an objective function based on classification loss and loss of the sparse constraint of cross entropy; and calculating an action category and a sparse coefficient corresponding to each time segment of a test sampled video to obtain an object action spatiotemporal location.

10. 发明申请

US20180068430A1 METHOD AND SYSTEM FOR ESTIMATING BLUR KERNEL SIZE 审中-公开
公开(公告)号：US20180068430A1
公开(公告)日：2018-03-08
申请号：US15709454
申请日：2017-09-19
申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
发明人： Nong SANG , Lerenhan LI , Luxin YAN , Changxin GAO , Yuanjie SHAO , Juncai PENG , Shiwei ZHANG , Jin WANG
IPC分类号： G06T7/00 , G06N3/02 , G06F17/11 , G06F17/18
CPC分类号： G06T7/0002 , G06F17/11 , G06F17/18 , G06K9/40 , G06K9/4628 , G06N3/02 , G06T5/003 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
摘要： A method for estimating a blur kernel size, the method including: (1) pre-processing a blurred image, to obtain an image, so that a size of the image satisfies an image input size of a multi-class convolutional neural network (CNN); (2) inputting the image into a multi-class CNN with completed training, to obtain a blur-kernel-size probability distribution vector; and (3) comparing each element in the blur-kernel-size probability distribution vector, so that an estimated blur kernel size of the blurred image is the blur kernel size corresponding to a largest element. The invention also provides a system for estimating a blur kernel size. The system includes an image pre-processing module, a training-set synthesizing module, a multi-class CNN module, and a blur kernel size estimation module.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式