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1.发明授权公开(公告)号：US09817107B2
公开(公告)日：2017-11-14
申请号：US15106700
申请日：2015-02-10
Inventor： Tianxu Zhang , Heng Yao , Peng Jiang , Sufei Fan , Yimeng Chen , Wenxuan Ma , Longwei Hao , Zhihui Yang
CPC classification number: G01S7/4802 , G01S17/023 , G01S17/107 , G01S17/89 , G01S17/933 , G06K9/0063 , G06K9/00637
Abstract: The present invention provides an above-ground building recognition method, including the following steps: (1) taking an infrared image of the ground from the air; (2) performing detection and positioning in the infrared image to determine a suspected target; (3) aiming at the suspected target to perform laser imaging; (4) performing range gating on a laser image to filter out foreground and background interference; and (5) extracting a shape feature of the suspected target from the laser image with interference filtered out, and taking the shape feature as a target matching element to perform matching with a target shape feature template, so as to recognize the target. In the method of the present invention, laser imaging is integrated into infrared imaging target positioning, so that an advantage of a large range of infrared imaging is utilized, and three-dimensional range information of laser imaging is also utilized, thereby effectively improving the precision of positioning a building.
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Patent Agency Ranking
公开(公告)号：US09625611B2
公开(公告)日：2017-04-18
申请号：US15114651
申请日：2015-02-10
Inventor： Tianxu Zhang , Cen Lu , Yuehuan Wang , Weidong Yang , Nong Sang , Wenxuan Ma , Longwei Hao
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.
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3.发明授权Zonal underground structure detection method based on sun shadow compensation 有权基于太阳影子补偿的区域地下结构检测方法公开(公告)号：US09582885B2
公开(公告)日：2017-02-28
申请号：US15106686
申请日：2015-02-10
Inventor： Tianxu Zhang , Longwei Hao , Wenxuan Ma , Cen Lu , Heng Yao , Yuehuan Wang , Nong Sang , Weidong Yang
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。
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公开(公告)号：US10365399B2
公开(公告)日：2019-07-30
申请号：US15106703
申请日：2014-09-02
Inventor： Tianxu Zhang , Wenxuan Ma , Cen Lu , Longwei Hao , Yuehuan Wang , Nong Sang , Weidong Yang , Hu Zhu
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.
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公开(公告)号：US09741120B2
公开(公告)日：2017-08-22
申请号：US15105456
申请日：2014-09-02
Inventor： Tianxu Zhang , Longwei Hao , Cen Lu , Wenxuan Ma , Yuehuan Wang , Nong Sang , Weidong Yang
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.
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6.发明授权Method for separating and estimating multiple motion parameters in X-ray angiogram image 有权X射线血管造影图像中分离和估计多个运动参数的方法公开(公告)号：US09286676B2
公开(公告)日：2016-03-15
申请号：US14698894
申请日：2015-04-29
Inventor： Tianxu Zhang , Yining Huang , Zhenghua Huang , Yaxun Wei , Longwei Hao
CPC classification number: G06T7/0012 , G06T5/50 , G06T7/20 , G06T7/246 , G06T7/262 , G06T2207/10116 , G06T2207/20224 , G06T2207/30048 , G06T2207/30101 , G06T2211/404
Abstract: A method for separating and estimating multiple motion parameters in an X-ray angiogram image. The method includes: determining a cardiac motion signal cycle and a variation frame sequence of translational motion according to an angiogram image sequence, tracing structure feature points of vessels in the angiogram image sequence whereby obtaining a motion sequence, processing the motion sequence via multivariable optimization and Fourier frequency-domain filtering, separating an optimum translational motion curve, a cardiac motion curve, a respiratory motion curve and a high-frequency motion curve according to the variation frame sequence of translational motion, a cycle of the cardiac motion signal, a range of a respiratory motion signal cycle, and a range of a high-frequency motion signal cycle.
Abstract translation: 一种用于在X射线血管造影图像中分离和估计多个运动参数的方法。 该方法包括：根据血管造影图像序列确定心脏运动信号循环和平移运动的变化帧序列，跟踪血管造影图像序列中血管的结构特征点，从而获得运动序列，通过多变量优化处理运动序列;以及 傅里叶频域滤波，根据平移运动的变化帧序列分离最佳平移运动曲线，心脏运动曲线，呼吸运动曲线和高频运动曲线，心脏运动信号的周期， 呼吸运动信号周期以及高频运动信号周期的范围。
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