公开(公告)号：US20190220958A1

公开(公告)日：2019-07-18

申请号：US16359990

申请日：2019-03-20

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 ,  G06T5/10 ,  G06T5/20 ,  G06T5/40 ,  G06T7/136

Abstract: An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.

公开(公告)号：US20160371841A1

公开(公告)日：2016-12-22

申请号：US15106686

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Longwei HAO ,  Wenxuan MA ,  Cen LU ,  Heng YAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06T7/00 ,  G06K9/46 ,  G06T7/60 ,  G01V9/00

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。

公开(公告)号：US20160356650A1

公开(公告)日：2016-12-08

申请号：US15106696

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Zhihui YANG ,  Jiayu LIU ,  Yutian ZHOU ,  Shoukui YAO ,  Junqing ZHANG

IPC: G01J3/28 ,  H01Q15/14

CPC classification number: G01J3/28 ,  G01J3/0208 ,  G01J3/0289 ,  G01J3/0291 ,  G01J3/2823 ,  H01Q15/14

Abstract: The present invention discloses a low-orbit satellite-borne image-spectrum associated detection method and payload. The method includes: (1) detecting and tracking moving targets and dynamic phenomena based on a pixel offset compensation method; and (2) performing multi-dimensional characteristic analysis on infrared spectra of the moving targets and the dynamic phenomena, to identify the moving targets and the dynamic phenomena. The payload includes a two-dimensional servo turntable, an infrared reflector, a multispectral infrared optical system, an infrared imaging unit, a broadband infrared spectrum measuring unit, a data processing unit and a control unit. The present invention can achieve coaxiality of an infrared imaging optical path and a short/medium/long wave infrared spectrum measuring optical path, detect infrared image information and infrared spectra of moving targets and dynamic phenomena simultaneously and realize automatic detection, tracking, spectrum measurement and identification of multiple moving targets and dynamic phenomena in a scene, and has high identification efficiency and high tracking and positioning accuracy.

Abstract translation: 本发明公开了一种低轨道卫星传输的图像频谱相关检测方法和有效载荷。 该方法包括：（1）基于像素偏移补偿方法检测和跟踪移动目标和动态现象; （2）对运动目标的红外光谱和动态现象进行多维特征分析，识别移动目标和动态现象。 有效载荷包括二维伺服转台，红外反射器，多光谱红外光学系统，红外成像单元，宽带红外光谱测量单元，数据处理单元和控制单元。 本发明可以实现红外成像光路和短/中/长波红外光谱测量光路的同轴度，同时检测运动目标的红外图像信息和红外光谱和动态现象，实现自动检测，跟踪，光谱测量和 识别场景中的多个移动目标和动态现象，识别效率高，追踪定位精度高。

公开(公告)号：US20160321795A1

公开(公告)日：2016-11-03

申请号：US15105456

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Longwei HAO ,  Cen LU ,  Wenxuan MA ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06T7/00 ,  G01J5/10

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.

Abstract translation: 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。

公开(公告)号：US20150317793A1

公开(公告)日：2015-11-05

申请号：US14698894

申请日：2015-04-29

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Yining HUANG ,  Zhenghua HUANG ,  Yaxun WEI ,  Longwei HAO

IPC: G06T7/00 ,  G06T5/50 ,  G06T7/20

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。

公开(公告)号：US20230213599A1

公开(公告)日：2023-07-06

申请号：US18148457

申请日：2022-12-30

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Hanyu HONG ,  Bin TIAN ,  Yuehuan WANG ,  Tao ZHANG ,  Qinghui ZHANG ,  Cheng YANG ,  Jiawei WANG ,  Jiandong TAN

IPC: G01R33/022 ,  G01V3/08

CPC classification number: G01R33/022 ,  G01V3/081

Abstract: Disclosed is an inverse estimation-based radius calculation method and system for ferromagnetic target detection. The calculation method includes a data acquisition step and a ferromagnetic target detection radius calculation step. Distrubance of a scale model to power frequency electromagnetic waves is used to inversely estimate a corresponding ferromagnetic target detection radius. Inverse estimation is performed separately for an air layer and a sea water layer according to test results of multiple scale model tests and in consideration of both a stationary state and a motion state of the scale model, so as to acquire a ferromagnetic target detection radius calculation formula. Weights of factors such as mass, speed, depth, and height are great in inverse estimation, so that inverse estimation precision is improved. The majority of background noise interference can be screened out of the power frequency electromagnetic waves.

公开(公告)号：US20180293709A1

公开(公告)日：2018-10-11

申请号：US15576847

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 ,  G06T5/10

CPC classification number: G06T5/002 ,  G06T5/00 ,  G06T5/009 ,  G06T5/10 ,  G06T2207/20056

Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method. The system effectively solves the problem of aerodynamic optical effect and the problem of the requirement for a short detection time interval of the processor in an aircraft flying at a high speed; due to the adoption of the independently researched and developed ASIC, the real-time property of the whole system is greatly improved; all tasks are rationally distributed and a multi-core parallel mode is adopted, so the image processing time is greatly shortened; and meanwhile, the FPGA module connects all units to form a closed-loop system, so that the system stability is further improved.

公开(公告)号：US20160327682A1

公开(公告)日：2016-11-10

申请号：US15108175

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xiaobing DAI ,  Xiangyan LIU ,  Jianfei JI ,  Xudong HE ,  Pengcheng GAO

IPC: G01V8/10 ,  G01J3/02

CPC classification number: G01V8/10 ,  G01J3/0208 ,  G01J3/453 ,  G01J2003/2826

Abstract: The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method. The system includes an infrared window (1), a two-dimensional rotating mirror (2), a planar reflector (3), a reflective multiband infrared lens (4), a Fourier interference spectrum module (5), an image-spectrum associated processing module (6), a power supply module (7), a refrigerating module (8), and a display module (9); the incident light enters from the infrared window (1), is reflected by the two-dimensional rotating mirror (2), and then is reflected by the planar reflector (3) to the reflective multiband infrared lens (4) and then is split by a spectroscope (42); the transmitted light is focused by means of a convergent lens and is imaged on an infrared detector (43); the reflected light is focused on an infrared optical fiber coupler (44) and enters the Fourier interference spectrum module (5) through an infrared optical fiber to form an interference pattern, and further, spectrum data is obtained through Fourier transformation; the image-spectrum associated processing module (6) effectively combines broadband spectrum imaging and non-imaging spectrum data, and controls the two-dimensional rotating mirror (2) to point to a target, thereby implementing intelligent remote sensing measurement. The present invention has capabilities of performing local scene region spectrum measurement and multi-target tracking spectrum measurement, has high speed, an appropriate data amount, and low cost.

Abstract translation: 本发明涉及一种多波段共同光路图像光谱相关遥感测量系统及方法。 该系统包括红外窗口（1），二维旋转镜（2），平面反射器（3），反射多波段红外透镜（4），傅里叶干涉光谱模块（5），图像光谱相关联 处理模块（6），电源模块（7），制冷模块（8）和显示模块（9）。 从红外线窗口（1）入射的入射光被二维旋转镜（2）反射，然后被平面反射体（3）反射到反射多波段红外线透镜（4），然后被 一个分光镜（42）; 透射光通过会聚透镜聚焦并在红外检测器（43）上成像; 反射光聚焦在红外光纤耦合器（44）上，通过红外光纤进入傅里叶干涉光谱模块（5），形成干涉图形，并通过傅里叶变换获得光谱数据; 图像频谱相关处理模块（6）有效地结合了宽带频谱成像和非成像光谱数据，并将二维旋转镜（2）控制为目标，实现智能遥感测量。 本发明具有执行局部场景频谱测量和多目标跟踪频谱测量的能力，具有高速度，适当的数据量和低成本。

公开(公告)号：US20160321788A1

公开(公告)日：2016-11-03

申请号：US15022872

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Gang ZHOU ,  Ao ZHONG ,  Liangliang WANG ,  Ming LI ,  Cen LU ,  Wen ZHANG ,  Zhiyong ZUO

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T5/00 ,  G06T2207/20004 ,  G06T2207/20012 ,  G06T2207/20056

Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=∇xu and d3=∇yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process. Compared with the prior art, the present invention obtains a new direction-adaptive cost function by introducing local direction information into a maximum a posteriori algorithm, solves a problem of edges of an image restored by traditional TV regularization terms being blurred, and can restore images of complex blurring types or images with abundant textures.

Abstract translation: 本发明公开了一种方向自适应图像去模糊方法，包括以下步骤：（1）通过方向自适应总变异规则化定义去除图像的最小成本函数; （2）通过辅助变量d1 = Hu，d2 =∇xu和d3 =∇yu将步骤（1）中的无约束最小化问题转换为约束问题; （3）通过引入惩罚条件，在步骤（2）从约束问题中获得新的最小成本函数; 和（4）将步骤（3）中的最小化问题转换为关于u，d1，d2和d3的交替最小化问题，其中确定变量的最小值作为其他变量，并且通过求解交替 通过替代和迭代最小化过程的最小化问题。 与现有技术相比，本发明通过将局部方向信息引入到最大后验算法中来获得新的方向自适应成本函数，解决了由传统TV正则化项被模糊而恢复的图像的边缘的问题，并且可以恢复图像 复杂的模糊类型或具有丰富纹理的图像。

公开(公告)号：US20230237673A1

公开(公告)日：2023-07-27

申请号：US18159898

申请日：2023-01-26

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Yiguang ZHANG ,  Lianjie LU ,  Chuanyi WEN ,  Hai XU ,  Yingzhuang LIU ,  Jian LIU ,  Tiejun ZHANG

IPC: G06T7/20 ,  G01C11/00 ,  G01S7/48 ,  G01S7/481 ,  G06T1/20

CPC classification number: G06T7/20 ,  G01C11/00 ,  G01S7/4802 ,  G01S7/481 ,  G06T1/20 ,  G06T2207/10048 ,  G06T2207/20221

Abstract: The disclosure discloses a mobile photoelectric detection and identification system for low, slow and small targets. The optical detection subsystem and the photoelectric parallel processing and identification subsystem are arranged on the servo subsystem, and the servo subsystem is carried on an installation platform of a vehicle. The optical detection subsystem is configured to collect multi-wavelength band optical information from the target and the background. The co-processing module of various wavelength bands is configured to perform single-frame detection and identification of the target from the image information of the corresponding wavelength band. The information processing main control module is configured to use JPEG image compression, track association and multi-frame combining methods to perform a multi-frame detection and identification on the target. The servo subsystem is configured to complete target tracking according to the multi-frame detection and identification results.