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1.发明授权公开(公告)号：US09286651B2
公开(公告)日：2016-03-15
申请号：US14693847
申请日：2015-04-22
Inventor： Tianxu Zhang , Shiying Gao , Yuehuan Wang , Sheng Zhong , Luxin Yan , Pengxian Yu , Bin Lu , Hao Li
CPC classification number: G06T3/0068 , G06K9/00624 , G06K9/00986 , G06T3/60 , G06T2207/10016 , H04N5/33
Abstract: An aircraft-based infrared image recognition device for a ground moving target, including an infrared non-uniformity correction module, an image rotation module, an image registration module, a multi-level filtering module, a connected domain labeling module, a target detection and feature recognition module, a process control module, and a FPGA-based interconnection module. The invention uses an ASIC/SoC chip for image processing and target recognition, the DSP processor and the FPGA processor, it is possible to enable a multi-level image processing and target recognition algorithm, to improve system parallel, and to facilitate an aircraft-based infrared image recognition method for a ground moving target. Meanwhile, embodiments of the invention effectively reduce power consumption of the device.
Abstract translation: 一种用于地面移动目标的基于飞机的红外图像识别装置，包括红外不均匀性校正模块，图像旋转模块，图像配准模块，多级过滤模块，连接域标签模块，目标检测和 特征识别模块，过程控制模块和基于FPGA的互连模块。 本发明使用用于图像处理和目标识别的ASIC / SoC芯片，DSP处理器和FPGA处理器，可以实现多级图像处理和目标识别算法，以改进系统并行，并且促进飞机 - 基于地面移动目标的红外图像识别方法。 同时，本发明的实施例有效地降低了设备的功耗。
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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：US12106024B2
公开(公告)日：2024-10-01
申请号：US18159922
申请日：2023-01-26
Inventor： Tianxu Zhang , Yongjun Jia , Yuehuan Wang , Xiuchang Gu , Wenbing Deng , Kechao Wang , Xin Liu
CPC classification number: G06F30/23 , G06T7/70 , G06T17/05 , G06V10/457 , G06T2207/10048
Abstract: Provided in the present invention are a geologically constrained infrared imaging detection method and system for an urban deeply-buried strip-like passage, pertaining to the crossing fields of geophysics and remote sensing technology. The method includes: establishing an urban hierarchical three-dimensional temperature field model according to urban street DEM data and geological data corresponding to urban streets; acquiring urban stratum geological background heat flux according to the urban hierarchical three-dimensional temperature field model; using a total solar radiation energy distribution model to calculate urban surface total solar radiation energy; sequentially filtering out the urban surface total solar radiation energy and the urban stratum geological background heat flux from an infrared remote sensing image of a region corresponding to a strip-like underground target, to acquire a perturbation signal image of an urban street deeply-buried strip-like passage; and using grayscale closed-operation plus an edge detection algorithm to perform detection and positioning after preprocessing the perturbation signal image of the urban street deeply-buried strip-like passage, to acquire location information of an urban strip-like underground passage. The present invention achieves inverse detection and positioning of an urban street deeply-buried strip-like passage.
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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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