公开(公告)号：US20230237221A1

公开(公告)日：2023-07-27

申请号：US18159922

申请日：2023-01-26

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Yongjun JIA ,  Yuehuan WANG ,  Xiuchang GU ,  Wenbing DENG ,  Kechao WANG ,  Xin LIU

IPC: G06F30/23 ,  G06T7/70 ,  G06T17/05 ,  G06V10/44

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.

公开(公告)号：US20160371851A1

公开(公告)日：2016-12-22

申请号：US15104921

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xiangyan LIU ,  Xiaobing DAI ,  Li LIU ,  Hongtao YU

IPC: G06T7/20 ,  G06F17/30 ,  G02B13/14 ,  G01V8/10 ,  G06T7/00

CPC classification number: G01V8/10 ,  G01J3/0208 ,  G01J3/021 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/45 ,  G01J5/20 ,  G02B6/42 ,  G02B13/14 ,  G02B17/061 ,  G02B19/009 ,  G02B26/101 ,  G06F17/30259 ,  G06F17/3028 ,  G06K9/00624 ,  G06K9/2018 ,  G06K9/32 ,  G06K2009/00644 ,  G06T2207/10004 ,  G06T2207/10048

Abstract: The present invention discloses an infrared image-spectrum associated intelligent detection method and apparatus, including: first searching for targets in a field of view (FOV), and performing image-spectrum associated intelligent identification sequentially on the searched targets, that is, first performing infrared image target identification on each target, and if a detection identification rate is greater than a set threshold, outputting an identification result and storing target image data; otherwise, acquiring an infrared spectrum of the target, and performing target identification based on infrared spectrum features. The present invention further discloses an apparatus for performing target detection using the above method, and the apparatus mainly includes a two-dimensional scanning mirror, a multiband infrared optical module, a long-wave infrared (LWIR) imaging unit, a broadband infrared spectrum measuring unit, and a processing and control unit. The method and apparatus of the present invention are improvements and enhancements of the conventional infrared target detection method and device, and may be used for infrared image detection, infrared image-spectrum associated detection of the target and infrared spectrum collection of the target. Compared with the conventional infrared detection device, the present invention has a higher cost performance, and can significantly improve the detection identification rate of the target.

Abstract translation: 本发明公开了一种红外图像相关智能检测方法和装置，包括：首先在视场（FOV）中搜索目标，并在搜索到的目标上顺序执行图像频谱相关的智能识别，即，首先执行 每个目标上的红外图像目标识别，如果检测识别率大于设定的阈值，则输出识别结果并存储目标图像数据; 否则，获取目标的红外光谱，并且基于红外光谱特征执行目标识别。 本发明还公开了一种使用上述方法进行目标检测的装置，该装置主要包括二维扫描镜，多频带红外光学模块，长波红外（LWIR）成像单元，宽带红外光谱测量 单位和一个处理和控制单位。 本发明的方法和装置是传统的红外目标检测方法和装置的改进和改进，可以用于目标的红外图像检测，红外图像相关检测和目标的红外光谱采集。 与传统的红外线检测装置相比，本发明具有更高的性价比，可以显着提高目标的检测识别率。

公开(公告)号：US20160363653A1

公开(公告)日：2016-12-15

申请号：US15106700

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Heng YAO ,  Peng JIANG ,  Sufei FAN ,  Yimeng CHEN ,  Wenxuan MA ,  Longwei HAO ,  Zhihui YANG

IPC: G01S7/48 ,  G01S17/93 ,  G01S17/02 ,  G01S17/89

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.

Abstract translation: 本发明提供了一种地面建筑识别方法，包括以下步骤：（1）从空中拍摄地面的红外图像; （2）执行红外图像的检测和定位以确定可疑目标; （3）瞄准可疑目标进行激光成像; （4）对激光图像进行范围选通，滤除前景和背景干扰; 并且（5）从具有被滤除的干扰的激光图像中提取可疑目标的形状特征，并且将形状特征作为目标匹配元素来执行与目标形状特征模板的匹配，以便识别目标。 在本发明的方法中，激光成像被集成到红外成像目标定位中，因此利用了大范围的红外成像的优点，并且还利用了激光成像的三维范围信息，从而有效地提高了精度 定位建筑物。

公开(公告)号：US20160189349A1

公开(公告)日：2016-06-30

申请号：US14964559

申请日：2015-12-09

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Zheng WANG ,  Li HE ,  Li LIU ,  Xuan HOU ,  Chuan ZHANG ,  Sufei FAN ,  Yimeng CHEN

IPC: G06T5/00 ,  G06T5/40 ,  G06F17/30 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T5/10 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155 ,  G06T2207/20056 ,  G06T2207/30184

Abstract: A de-noising method for remote images of ground buildings using spectrum constraints. The method includes: 1) obtaining a reference image of ground buildings from a remote image database of the ground buildings, performing a Fourier transformation on the reference image to obtain an amplitude spectrum, and performing a threshold segmentation, an erosion operation and a dilation operation successively on the amplitude spectrum to obtain a binary template of spectrum of the ground buildings; and 2) obtaining a real-time image of the ground buildings by a high-speed aircraft, performing a Fourier transformation on the real-time image to obtain a spectrum, filtering the spectrum of the real-time image in frequency domain by the binary template of spectrum of the ground buildings, and performing an inverse Fourier transformation thereon to generate a filtered real-time image of the ground buildings.

Abstract translation: 使用频谱约束的地面建筑物远距离图像的去噪方法。 该方法包括：1）从地面建筑物的远程图像数据库获取地面建筑物的参考图像，对参考图像进行傅立叶变换以获得振幅谱，并执行阈值分割，侵蚀操作和扩张操作 连续振幅谱，得到地面建筑物光谱二元模板; 和2）通过高速飞行器获得地面建筑物的实时图像，对实时图像进行傅立叶变换以获得频谱，通过二进制码对频域中的实时图像的频谱进行滤波 地面建筑物的光谱模板，并对其进行逆傅里叶变换，以产生地面建筑物的滤波实时图像。

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：US20150062995A1

公开(公告)日：2015-03-05

申请号：US14142987

申请日：2013-12-30

Applicant: Huazhong University of Science and Technology

Inventor： Hongshi SANG ,  Wen WANG ,  Tianxu ZHANG ,  Chaobing LIANG ,  Jing ZHANG ,  Yang XIE ,  Yajing YUAN

IPC: G11C5/00 ,  G11C5/06

CPC classification number: G11C11/4125

Abstract: A radiation-hardened storage unit, including a basic storage unit, a redundant storage unit, and a two-way feedback unit. The basic storage unit includes a first PMOS transistor, a second PMOS transistor, a third PMOS transistor, and a fourth PMOS transistor. The first PMOS transistor and the second PMOS transistor are read-out access transistors. The third PMOS transistor and the fourth PMOS transistor are write-in access transistors. The redundant storage unit includes a fifth PMOS transistor, a sixth PMOS transistor, a seventh PMOS transistor, and an eighth PMOS transistor. The fifth PMOS transistor and the sixth PMOS transistor are read-out access transistors. The seventh PMOS transistor and the eighth PMOS transistor are write-in access transistors. The two-way feedback unit is configured to form a feedback path between the storage node and the redundant storage node.

Abstract translation: 辐射硬化存储单元，包括基本存储单元，冗余存储单元和双向反馈单元。 基本存储单元包括第一PMOS晶体管，第二PMOS晶体管，第三PMOS晶体管和第四PMOS晶体管。 第一PMOS晶体管和第二PMOS晶体管是读出存取晶体管。 第三PMOS晶体管和第四PMOS晶体管是写入存取晶体管。 冗余存储单元包括第五PMOS晶体管，第六PMOS晶体管，第七PMOS晶体管和第八PMOS晶体管。 第五PMOS晶体管和第六PMOS晶体管是读出存取晶体管。 第七PMOS晶体管和第八PMOS晶体管是写入存取晶体管。 双向反馈单元被配置为在存储节点和冗余存储节点之间形成反馈路径。

公开(公告)号：US20130121609A1

公开(公告)日：2013-05-16

申请号：US13731100

申请日：2012-12-30

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Daolong WU ,  Jianchong CHEN ,  Jing GUAN ,  Zheng YU ,  Hao CHEN ,  Zhiyong ZUO ,  Putao ZHANG

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T2207/10032 ,  G06T2207/20021 ,  G06T2207/30181

Abstract: A method for restoring and enhancing a space based image of point or spot objects. The method includes: 1) dividing a space-variable degraded image into multiple space-invariant image sub-blocks, and constructing a point spread function for each of the image sub-blocks; 2) correcting each of the image sub-blocks via a space-invariant image correction method whereby obtaining a corrected image {circumflex over (f)}i for each of the image sub-blocks; and 3) stitching the corrected image sub-blocks {circumflex over (f)}i altogether via a stitching algorithm whereby obtaining a complete corrected image {circumflex over (f)}.

Abstract translation: 一种用于恢复和增强点或点​​对象的基于空间的图像的方法。 该方法包括：1）将空间变异退化图像划分为多个空间不变图像子块，并为每个图像子块构建点扩散函数; 2）通过空间不变图像校正方法校正每个图像子块，从而获得每个图像子块的校正图像{（f）} i的旋转; 并且3）通过拼接算法拼接校正图像子块（在（f）} i上的旋转），从而获得完整的校正图像{（f）}。

公开(公告)号：US20190325586A1

公开(公告)日：2019-10-24

申请号：US16458219

申请日：2019-07-01

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Hongtao YU ,  Shoukui YAO ,  Xiaobing DAI

IPC: G06T7/246 ,  G01J5/08 ,  G06T7/73 ,  G06T7/194 ,  H04N5/225

Abstract: A method of measuring infrared spectral characteristics of a moving target, the method including: establishing a multi-dimensional and multi-scale model with infrared spectral features of an object-space target, and extracting an object-space region of interest measurement model; performing target detection on an actually measured infrared image, and identifying position information for each ROI of a target; tracking the target, to obtain the target's pixel differences between two frames, as well as a moving direction of the target, and performing motion compensation for the target; and scanning the target, and after successfully capturing an image of the target being tracked, controlling an inner framework to point to each target of interest, and according to moving-direction information of the target, performing N-pixel-size motion in a direction shifted by 90° with respect to the moving direction, and activating a spectrum measuring module.

公开(公告)号：US20190323894A1

公开(公告)日：2019-10-24

申请号：US16458221

申请日：2019-07-01

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Fenglin WANG ,  Shoukui YAO ,  Lei LU ,  Xu CHENG

IPC: G01J5/00 ,  G06N20/00

Abstract: A method of attitude estimation of a spotted target. The method includes an offline training and an online estimation. The offline training includes establishing a three-dimensional geometric model of a target, performing region division according to the structure of the target, establishing an object-space temperature distribution model for each region of the target, establishing an infrared radiation transmission model of an intra-atmospheric target in six attitudes in observation by a detection system, constructing an image-space radiant energy model of the target in the six attitudes using the object-space temperature distribution model and the infrared radiation transmission model, and performing simulation calculation to obtain an infrared spectral curve of the spotted target regarding wavelength versus image-space-radiant-energy-of-target, so as to establish a mapping database regarding target-attitude versus spectrum.

公开(公告)号：US20180350041A1

公开(公告)日：2018-12-06

申请号：US15577335

申请日：2016-04-13

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xuan HOU ,  Chuan ZHANG ,  Li LIU ,  Quan CHEN ,  Ao ZHONG ,  Mingxing XU ,  Yutian ZHOU

IPC: G06T5/00 ,  G06T5/40 ,  G06T5/10

CPC classification number: G06T5/00

Abstract: An aerothermal radiation effect frequency domain correction method, comprising: use a Gaussian surface to approximate a thermal radiation noise, perform a Fourier transform on the thermal radiation noise to obtain an amplitude spectrum, then normalize and segment the amplitude spectrum to obtain a filter thresholding template, BW, then use the filter thresholding template, BW, to construct a filter function, H; perform a Fourier transform on an image degraded by aerodynamic thermal radiation, f, to obtain a centralized frequency spectrum, F, then take the dot product of F and H to obtain a real-time image frequency spectrum, G; and perform an inverse Fourier transform on G to obtain a modulus, and acquire an image corrected for thermal radiation, g. Using the method effectively removes background noise generated by aerothermal radiation to restore a clear image, greatly improving image quality and image signal-to-noise ratio. The method further features reduced computational complexity and a shorter operation time, and is therefore better suited for real-time processing.