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    • 2. 发明申请
    • MULTIBAND COMMON-OPTICAL-PATH IMAGE-SPECTRUM ASSOCIATED REMOTE SENSING MEASUREMENT SYSTEM AND METHOD
    • 多通道光路图像光谱相关远程感测测量系统及方法
    • US20160327682A1
    • 2016-11-10
    • US15108175
    • 2014-09-02
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGXiaobing DAIXiangyan LIUJianfei JIXudong HEPengcheng GAO
    • G01V8/10G01J3/02
    • G01V8/10G01J3/0208G01J3/453G01J2003/2826
    • 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.
    • 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。
    • 3. 发明申请
    • DIRECTION-ADAPTIVE IMAGE DEBLURRING METHOD
    • 方向自适应图像去除方法
    • US20160321788A1
    • 2016-11-03
    • US15022872
    • 2015-02-10
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGGang ZHOUAo ZHONGLiangliang WANGMing LICen LUWen ZHANGZhiyong ZUO
    • G06T5/00
    • G06T5/003G06T5/00G06T2207/20004G06T2207/20012G06T2207/20056
    • 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.
    • 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。
    • 5. 发明申请
    • ZONAL UNDERGROUND STRUCTURE DETECTION METHOD BASED ON SUN SHADOW COMPENSATION
    • 基于SUN阴影补偿的区域地下结构检测方法
    • US20160371841A1
    • 2016-12-22
    • US15106686
    • 2015-02-10
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGLongwei HAOWenxuan MACen LUHeng YAOYuehuan WANGNong SANGWeidong YANG
    • G06T7/00G06K9/46G06T7/60G01V9/00
    • G06T7/73G01V9/005G06K9/0063G06K9/4652G06K9/4661G06T5/008G06T5/30G06T7/60G06T2207/10032G06T2207/10048
    • 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.
    • 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。
    • 6. 发明申请
    • LOW-ORBIT SATELLITE-BORNE IMAGE-SPECTRUM ASSOCIATED DETECTION METHOD AND PAYLOAD
    • 低轨卫星图像光谱相关检测方法和载荷
    • US20160356650A1
    • 2016-12-08
    • US15106696
    • 2015-02-10
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGZhihui YANGJiayu LIUYutian ZHOUShoukui YAOJunqing ZHANG
    • G01J3/28H01Q15/14
    • G01J3/28G01J3/0208G01J3/0289G01J3/0291G01J3/2823H01Q15/14
    • 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.
    • 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。
    • 7. 发明申请
    • INFRARED IMAGING DETECTION AND POSITIONING METHOD FOR UNDERGROUND BUILDING IN PLANAR LAND SURFACE ENVIRONMENT
    • 红外成像检测与定位方法在平面土地环境中的地下建筑
    • US20160321795A1
    • 2016-11-03
    • US15105456
    • 2014-09-02
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGLongwei HAOCen LUWenxuan MAYuehuan WANGNong SANGWeidong YANG
    • G06T7/00G01J5/10
    • G06T7/70G01J5/10G01J2005/0077G06T5/001G06T2207/10048G06T2207/20076
    • 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.
    • 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。
    • 9. 发明申请
    • INFRARED IMAGE-SPECTRUM ASSOCIATED INTELLIGENT DETECTION METHOD AND APPARATUS
    • 红外图像相关智能检测方法和设备
    • US20160371851A1
    • 2016-12-22
    • US15104921
    • 2015-02-10
    • HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    • Tianxu ZHANGXiangyan LIUXiaobing DAILi LIUHongtao YU
    • G06T7/20G06F17/30G02B13/14G01V8/10G06T7/00
    • G01V8/10G01J3/0208G01J3/021G01J3/0294G01J3/2823G01J3/45G01J5/20G02B6/42G02B13/14G02B17/061G02B19/009G02B26/101G06F17/30259G06F17/3028G06K9/00624G06K9/2018G06K9/32G06K2009/00644G06T2207/10004G06T2207/10048
    • 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.
    • 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。