公开(公告)号：US20170008650A1

公开(公告)日：2017-01-12

申请号：US15106690

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Liangliang WANG ,  Gang ZHOU ,  Ming LI ,  Weidong YANG ,  Kuan LIU ,  Yayun ZHENG

IPC: B64G3/00 ,  G06K9/62 ,  G06K9/00 ,  G06K9/46 ,  G01C21/24 ,  G01C21/20

CPC classification number: B64G3/00 ,  B64G1/24 ,  B64G2001/245 ,  G01C21/20 ,  G01C21/24 ,  G06K9/00201 ,  G06K9/4604 ,  G06K9/6202 ,  G06T7/75 ,  G06T2207/10032

Abstract: An attitude estimation method for an on-orbit three-dimensional space object comprises an offline feature library construction step and an online attitude estimation step. The offline feature library construction step comprises: according to a space object three-dimensional model, acquiring multi-viewpoint characteristic views of the object, and extracting geometrical features therefrom to form a geometrical feature library, where the geometrical features comprise an object main body height-width ratio, an object longitudinal symmetry, an object horizontal symmetry, and an object main-axis inclination angle. The online attitude estimation step comprises: preprocessing an on-orbit object image to be tested and extracting features, and matching the extracted features in the geometrical feature library, where an object attitude characterized by a characteristic view corresponding to a matching result is an attitude estimation result. A dimension scale and position relationship between various components of an object are accurately acquired in a three-dimensional modeling stage, thereby ensuring subsequent relatively high matching precision. An attitude estimation system for an on-orbit three-dimensional space object is also provided.

Abstract translation: 轨道三维空间物体的姿态估计方法包括离线特征库构造步骤和在线姿态估计步骤。 离线特征库构建步骤包括：根据空间对象三维模型，获取对象的多视点特征视图，并从中提取几何特征以形成几何特征库，其中几何特征包括对象主体高度 物体纵向对称性，物体水平对称性和物体主轴倾斜角度。 在线姿态估计步骤包括：对要测试的轨道上物体图像进行预处理并提取特征，并且匹配几何特征库中提取的特征，其中以对应于匹配结果的特征视图为特征的对象姿态是姿态估计 结果。 在三维建模阶段中准确地获取对象的各个组件之间的尺度尺度和位置关系，从而确保随后的相对较高的匹配精度。 还提供了一种用于轨道上三维空间物体的姿态估计系统。

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：US20160370227A1

公开(公告)日：2016-12-22

申请号：US15104905

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xiaobing DAI ,  Xiangyan LIU ,  Jindong FEI ,  Li LIU ,  Hongtao YU ,  Shoukui YAO

IPC: G01J3/02 ,  H04N5/232 ,  G01J3/28 ,  G01J3/45 ,  G01H9/00 ,  H04N5/33 ,  H04N5/225

CPC classification number: G01J3/0202 ,  G01H9/004 ,  G01J3/0208 ,  G01J3/021 ,  G01J3/0218 ,  G01J3/0264 ,  G01J3/2823 ,  G01J3/45 ,  G01J2003/2836 ,  H04N5/2251 ,  H04N5/2252 ,  H04N5/2254 ,  H04N5/23241 ,  H04N5/33

Abstract: The present invention discloses a moving platform infrared image-spectrum associated detection system, including an optical hood, a broadband optical system, a two-dimensional servo system, an infrared optical fiber, a Fourier interference spectrum module, an image-spectrum associated detection processing module, a power supply module, and a display module. Incident light enters from the optical hood to the broadband optical system, and is split by a spectroscope. Transmitted light is focused by a long-wave imaging lens group on an infrared detector for imaging. Reflected light is focused by a broadband spectrum lens group to an optical fiber coupler, enters the Fourier interference spectrum module through the infrared optical fiber to form an interference pattern, and undergoes Fourier transform to obtain spectral data. The image-spectrum associated detection processing module effectively merges infrared imaging and broadband spectral data, and the two-dimensional servo system is used to control a center orientation of the broadband optical system, thereby implementing target detection, tracking and spectrum measurement in a moving platform condition. The present invention can effectively isolate the system from disturbance of the moving platform, has the capability of simultaneously performing scene imaging, local area spectrum measurement, and multi-target tracking spectrum measurement, has a high speed and an adequate data amount, and has a broad application prospect.

Abstract translation: 本发明公开了一种移动平台红外图像相关检测系统，包括光学罩，宽带光学系统，二维伺服系统，红外光纤，傅里叶干涉光谱模块，图像相关检测处理 模块，电源模块和显示模块。 入射光从光学罩进入宽带光学系统，并被分光镜分离。 透射光通过长波成像透镜组聚焦在用于成像的红外检测器上。 反射光由宽带光谱透镜组聚焦到光纤耦合器，通过红外光纤进入傅里叶干涉光谱模块，形成干涉图案，进行傅里叶变换，得到光谱数据。 图像相关检测处理模块有效地融合了红外成像和宽带光谱数据，二维伺服系统用于控制宽带光学系统的中心定向，从而在移动平台中实现目标检测，跟踪和频谱测量 条件。 本发明可以有效地隔离系统与移动平台的干扰，具有同时执行场景成像，局域频谱测量和多目标跟踪频谱测量的能力，具有高速度和足够的数据量，并具有 广泛的应用前景。

公开(公告)号：US20160363451A1

公开(公告)日：2016-12-15

申请号：US15105459

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Sufei FAN ,  Yimeng CHEN ,  Heng YAO ,  Zhengtao LI ,  Zheng WANG ,  Wei HUANG ,  Zhenghua HUANG

IPC: G01C21/20

CPC classification number: G01C21/20 ,  B64G1/24 ,  G01C3/14 ,  G01S17/023 ,  G01S17/08 ,  G01S17/875 ,  G06T7/70 ,  G06T2207/10021 ,  G06T2207/30261

Abstract: The present invention discloses a multi-sensor merging based super-close distance autonomous navigation apparatus and method. The apparatus includes a sensor subsystem, an information merging subsystem, a sensor scanning structure, and an orientation guiding structure, wherein a visible light imaging sensor and an infrared imaging sensor are combined together, and data are acquired by combining a passive measurement mode composed of an optical imaging sensor and an active measurement mode composed of a laser distance measuring sensor. Autonomous navigation is divided into three stages, that is, a remote distance stage, implemented by adopting a navigation mode where a binocular visible light imaging sensor and a binocular infrared imaging sensor are combined, a close distance stage, implemented by adopting a navigation mode where a binocular visible light imaging sensor, a binocular infrared imaging sensor and a laser distance measuring sensor array are combined, and an ultra-close distance stage, implemented by adopting a navigation mode of a laser distance measuring sensor array. Through the present invention, the field of view and the exploration range are widened, the problem of shielding existing in passive measurement is effectively solved, the precision of data measurement is ensured, and the navigation efficiency and the safety and reliability of navigation are improved.

Abstract translation: 本发明公开了一种基于多传感器合并的超近距离自主导航装置和方法。 该装置包括传感器子系统，信息合并子系统，传感器扫描结构和定向引导结构，其中可见光成像传感器和红外成像传感器组合在一起，并且通过组合由 光学成像传感器和由激光测距传感器组成的主动测量模式。 自主导航分为三个阶段，即通过采用双目可见光成像传感器和双目红外成像传感器组合的导航模式实现的远距离舞台，近距离舞台，采用导航模式 将双目可见光成像传感器，双目红外成像传感器和激光距离测量传感器阵列组合在一起，并采用激光测距传感器阵列的导航模式实现的超近距离级。 通过本发明，扩大了视野和探索范围，有效解决了被动测量中存在的屏蔽问题，确保了数据测量的精度，提高了导航效率和导航的安全可靠性。

公开(公告)号：US20150242700A1

公开(公告)日：2015-08-27

申请号：US14711755

申请日：2015-05-13

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Sufei FAN ,  Yimeng CHEN ,  Yayun ZHENG ,  Changsheng CHEN ,  Zheng WANG ,  Huan WU ,  Xudong HE

IPC: G06K9/46 ,  G06T7/00 ,  G06K9/48

CPC classification number: G06K9/4604 ,  G06K9/481 ,  G06T7/269 ,  G06T7/66 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10021 ,  G06T2207/30241

Abstract: A method for estimating a rotation axis and a mass center of a spatial target based on binocular optical flows. The method includes: extracting feature points from binocular image sequences sequentially and respectively, and calculating binocular optical flows formed thereby; removing areas ineffective for reconstructing a three-dimensional movement trajectory from the binocular optical flows of the feature points, whereby obtaining effective area-constrained binocular optical flows, and reconstructing a three-dimensional movement trajectory of a spatial target; and removing areas with comparatively large errors in reconstructing three-dimensional motion vectors from the optical flows by multiple iterations, estimating a rotation axis according to a three-dimensional motion vector sequence of each of the feature points obtained thereby, obtaining a spatial equation of an estimated rotation axis by weighted average of estimated results of the feature points, and obtaining spatial coordinates of a mass center of the target according to two estimated rotation axes.

Abstract translation: 一种用于基于双目光学流量估计空间目标的旋转轴线和质量中心的方法。 该方法包括：依次分别从双目图像序列中提取特征点，并计算由此形成的双目光学流; 从特征点的双目光流中去除重建三维运动轨迹的区域，从而获得有效面积约束的双目光学流，并重建空间目标的三维运动轨迹; 以及通过多次迭代从光流重建三维运动矢量中去除具有相对较大误差的区域，根据由其获得的每个特征点的三维运动矢量序列估计旋转轴，获得空间方程 通过估计结果的特征点的加权平均值估计旋转轴，并且根据两个估计的旋转轴获得目标的质心的空间坐标。

公开(公告)号：US20150227776A1

公开(公告)日：2015-08-13

申请号：US14693847

申请日：2015-04-22

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Shiying GAO ,  Yuehuan WANG ,  Sheng ZHONG ,  Luxin YAN ,  Pengxian YU ,  Bin LU ,  Hao LI

IPC: G06K9/00 ,  G06T3/00 ,  G06T3/60 ,  H04N5/33 ,  G06K9/46

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。

公开(公告)号：US20130214164A1

公开(公告)日：2013-08-22

申请号：US13845142

申请日：2013-03-18

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Zheng FANG ,  Xiangyan LIU ,  Wei ZHANG ,  Ping FU ,  Xiaoyong BIAN ,  Hao LI ,  Gaofei LI ,  Weidong YANG

IPC: G01J5/00

CPC classification number: G01J5/0022 ,  G01J3/2823 ,  G01J3/36 ,  G01S3/7864

Abstract: A method for detecting spectral characteristics of multi-band moving objects. The method includes: 1) dividing a full field of view into several subfields of view, and scanning and extracting suspected objects in each subfield one by one; 2) correlating interrelated suspected objects in adjacent subfields via coordinates to determine objects of interest that exist in the full field of view; 3) calculating the speeds of the objects of interest; 4) calculating average speed of all of the objects of interest and classifying the objects of interest according to their average speed; 5) compensating and rectifying the objective spectrum obtained from calculation; and 6) matching the compensated and rectified objective spectrum with a spectrum fingerprint database whereby realizing recognition of the multi-band moving objects.

Abstract translation: 一种用于检测多波段移动物体的光谱特征的方法。 该方法包括：1）将整个视野划分为多个子视野，逐个扫描并提取每个子场中的可疑对象; 2）通过坐标将相邻子场中的相关可疑对象相关联，以确定在整个视野中存在的感兴趣对象; 3）计算感兴趣对象的速度; 4）计算所有感兴趣对象的平均速度，并根据其平均速度对感兴趣对象进行分类; 5）补偿和整理从计算得到的客观光谱; 以及6）将补偿和纠正的客观频谱与频谱指纹数据库进行匹配，从而实现对多频带移动物体的识别。

公开(公告)号：US20250061247A1

公开(公告)日：2025-02-20

申请号：US18818557

申请日：2024-08-28

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

Abstract: A geologically constrained infrared imaging detection system for an urban street deeply-buried strip-like passage includes an urban hierarchical three-dimensional temperature field model establishing module for establishing an urban hierarchical three-dimensional temperature field model according to urban street digital elevation model (DEM) data and geological data corresponding to urban streets; a total solar radiation energy calculating module for using a total solar radiation energy distribution model to calculate urban surface total solar radiation energy on the basis of the DEM data; an urban stratum geological background heat flux calculating module for calculating urban stratum geological background heat flux via the urban hierarchical three-dimensional temperature field model; an image filtering module; and a perturbation signal processing module.

公开(公告)号：US20230243997A1

公开(公告)日：2023-08-03

申请号：US18148460

申请日：2022-12-30

Applicant: Huazhong University of Science and Technology ,  Wuhan Institute of Technology

Inventor： Tianxu ZHANG ,  Qinghui ZHANG ,  Cheng YANG ,  Tao ZHANG ,  Jiawei WANG ,  Jiandong TAN

IPC: G01V3/17 ,  G01V3/38 ,  G01V3/08 ,  G01V3/165

CPC classification number: G01V3/17 ,  G01V3/38 ,  G01V3/083 ,  G01V3/165

Abstract: Disclosed are an underwater ferromagnetic target detection method and system employing multiple power frequency radiation sources, pertaining to the technical field of non-acoustic underwater detection. The method includes: a power transmission network generating a power frequency electromagnetic field in a spatial range, and an underwater ferromagnetic target generating an electromagnetic field under the combined action of the power frequency electromagnetic field and seawater inside and outside the underwater ferromagnetic target; if there are multiple ships on the water serving as secondary radiation sources acting on the underwater ferromagnetic target, obtaining a secondary magnetic field generated by the underwater ferromagnetic target, and adding the secondary magnetic field and the electromagnetic field generated by the underwater ferromagnetic target under the combined action of the power frequency electromagnetic field and the seawater inside and outside the underwater ferromagnetic target to obtain a total electromagnetic field generated by the underwater ferromagnetic target; and acquiring a power frequency electromagnetic field distribution around the underwater ferromagnetic target, and performing underwater ferromagnetic target detection according to the power frequency electromagnetic field distribution. The present invention can enhance power frequency electromagnetic field signals of an underwater ferromagnetic target, and achieves underwater ferromagnetic target detection.

公开(公告)号：US20190316908A1

公开(公告)日：2019-10-17

申请号：US16455812

申请日：2019-06-28

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Yutian ZHOU ,  Zongyang CUI ,  Lei ZHANG ,  Shoukui YAO ,  Mingming QUE

IPC: G01C21/02 ,  G01C21/24 ,  B64G1/36 ,  G06K9/00 ,  G01S3/781 ,  G06F9/48 ,  G06F9/38

Abstract: A master control system for a remote-sensing satellite image processing device, the system including: a master control management module, a first FPGA module, and a second FPGA module. The master control management module is in connection and communication with the first FPGA module, the second FPGA module, and a housekeeping computer. The first FPGA module is in connection and communication with the second FPGA module and a remote-sensing satellite image processing device. The master control management module is adapted to perform assignment of tasks. The first FPGA module is adapted to communicate with a processor in the satellite image processing device, monitor an operation state of the satellite image processing device, send the operation state information to the master control management module, receive a task assignment command issued by the master control management module, and transmit the task assignment command to the satellite image processing device.