Method and system for building short-wave, medium-wave and long-wave infrared spectrum dictionary

    公开(公告)号:US12181343B2

    公开(公告)日:2024-12-31

    申请号:US18298250

    申请日:2023-04-10

    Abstract: A method and a system for building a short-wave, medium-wave and long-wave infrared spectrum dictionary are provided. The method includes: building an infrared three-primary-color chromaticity diagram by using infrared spectrum response curves of an infrared three-primary-color sensor group; performing weighted combination on the infrared spectrum response curves; performing multi-scale discretization on the infrared three-primary-color chromaticity diagram, clustering chromaticity coordinates generated by discretization into different groups, performing weighted combination on the infrared spectrum response curves corresponding to the chromaticity coordinates of each point in the groups, generating a new image-space infrared spectrum, and adding the new image-space infrared spectrum to an initial image-space infrared spectrum dictionary; performing weighted combination on object-space Planck curves associated with three different temperatures to build an object-space Planck spectrum dictionary; and using the final image-space infrared spectrum dictionary and the object-space Planck spectrum dictionary to build the short-wave, medium-wave and long-wave infrared spectrum dictionary.

    Construction method and system for visible near-infrared spectrum dictionary

    公开(公告)号:US11935268B2

    公开(公告)日:2024-03-19

    申请号:US18298258

    申请日:2023-04-10

    CPC classification number: G06T7/90 G01J3/2823

    Abstract: A construction method and system for a visible near-infrared spectrum dictionary is provided. The method includes: constructing a four-primary color chromaticity cone by using normalized spectral response curves of four primary colors of a visible light camera as spectral basis functions; performing weighted combination on the spectral basis functions and forming an initial visible near-infrared spectrum dictionary; acquiring points on the four-primary color chromaticity cone on the basis of the initial visible red infrared spectrum dictionary according to different spectral resolutions and performing discretization, and forming words in the initial visible near-infrared spectrum dictionary; clustering chromaticity coordinates corresponding to the words into different groups, performing weighted combination on multi-scale spectral response curves corresponding to different group types, generating phrases or sentences in the dictionary, and generating a final visible near-infrared spectrum dictionary. The visible near-infrared spectrum dictionary can support a novel computational spectrometry imaging spectrometer.

    Master control system for satellite image processing

    公开(公告)号:US11408736B2

    公开(公告)日:2022-08-09

    申请号:US16455812

    申请日:2019-06-28

    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.

    Direction-adaptive image deblurring method
    35.
    发明授权
    Direction-adaptive image deblurring method 有权
    方向自适应图像去模糊方法

    公开(公告)号:US09582862B2

    公开(公告)日:2017-02-28

    申请号:US15022872

    申请日:2015-02-10

    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正则化术语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。

    De-noising system for remote images of ground buildings using spectrum constraints and de-noising method thereof
    36.
    发明授权
    De-noising system for remote images of ground buildings using spectrum constraints and de-noising method thereof 有权
    使用频谱约束和去噪方法对地面建筑物远距离图像进行去噪系统

    公开(公告)号:US09563939B2

    公开(公告)日:2017-02-07

    申请号:US14964559

    申请日:2015-12-09

    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。

    Method and apparatus for detecting spectral characteristics of multi-band moving objects
    37.
    发明授权
    Method and apparatus for detecting spectral characteristics of multi-band moving objects 有权
    用于检测多波段移动物体的光谱特征的方法和装置

    公开(公告)号:US09006659B2

    公开(公告)日:2015-04-14

    申请号:US13845142

    申请日:2013-03-18

    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。

    Radiation-hardened storage unit
    38.
    发明授权
    Radiation-hardened storage unit 有权
    辐射硬化存储单元

    公开(公告)号:US08988922B1

    公开(公告)日:2015-03-24

    申请号:US14142987

    申请日:2013-12-30

    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。

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