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    • 1. 发明授权
    • Method and apparatus for recognising a radar target
    • 用于识别雷达目标的方法和装置
    • US06801155B2
    • 2004-10-05
    • US10333630
    • 2003-01-23
    • Mohammed JahangirKeith M Ponting
    • Mohammed JahangirKeith M Ponting
    • G01S7292
    • G06K9/6297G01S7/2923G01S7/415G01S13/524G06K9/3241
    • A method of recognizing a radar target comprises producing a sequence of Doppler spectra of radar returns form a scene and producing therefrom a sequence of Doppler feature vectors for a target in the scene. Hidden Markov modelling (HMM) is then used to identify the sequence of Doppler feature vectors as indicating a member of a particular class of targets. HMM is used to identify the sequence of Doppler feature vectors by assigning to each feature vector an occurrence probability by selecting a probability distribution or state from a set thereof associated with a class of targets, multiplying the occurrence probabilities together to obtain an overall probability, repeating for other probability distributions in the set to determine a combination of probability distributions giving highest overall probability for that class of target, then repeating for at least one other class of targets and selecting the target class as being that which yields the highest overall occurrence probability.
    • 识别雷达目标的方法包括从场景产生雷达返回的多普勒频谱序列,并由此产生场景中的目标的多普勒特征向量序列。 然后使用隐马尔可夫模型(HMM)来识别多普勒特征向量的序列,以指示特定类别的目标的成员。 HMM用于通过从与特定类别的目标相关联的集合中选择概率分布或状态来向每个特征向量分配发生概率来识别多普勒特征向量的序列,将发生概率相乘以获得总概率,重复 对于集合中的其他概率分布来确定给出该类目标的最高总概率的概率分布的组合,然后针对至少一个其他类别的目标重复,并且将目标类别选择为产生最高总发生概率的目标类别。
    • 2. 发明授权
    • System and method for processing radar imagery
    • 用于处理雷达图像的系统和方法
    • US08805005B2
    • 2014-08-12
    • US13139882
    • 2009-11-04
    • Mohammed JahangirPaul Graham KealeyChristopher Paul MoateRobert David Hill
    • Mohammed JahangirPaul Graham KealeyChristopher Paul MoateRobert David Hill
    • G06K9/00H04N5/225G01S13/08G01S13/58G01S13/00
    • G01S13/9023G01S13/9029
    • The present invention relates to a system and method for processing imagery, such as may be derived from a coherent imaging system e.g. a synthetic aperture radar (SAR). The system processes sequences of SAR images of a region taken in at least two different passes and generates Coherent Change Detection (CCD) base images from corresponding images of each pass. A reference image is formed from one or more of the CCD base images images, and an incoherent change detection image formed by comparison between a given CCD base image and the reference image. The technique is able to detect targets from tracks left in soft ground, or from shadow areas caused by vehicles, and so does not rely on a reflection directly from the target itself. The technique may be implemented on data recorded in real time, or may be done in post-processing on a suitable computer system.
    • 本发明涉及一种用于处理图像的系统和方法,例如可以从相干成像系统导出。 合成孔径雷达(SAR)。 该系统处理在至少两个不同遍中拍摄的区域的SAR图像的序列,并且从每个遍的相应图像生成相干变化检测(CCD)基础图像。 通过一个或多个CCD基础图像图像形成参考图像,以及通过比较给定的CCD基础图像和参考图像而形成的非相干变化检测图像。 该技术能够从软地面或由车辆引起的阴影区域中的轨道中检测目标,因此不依赖于目标本身的直接反射。 该技术可以在实时记录的数据上实现,或者可以在适当的计算机系统上的后处理中完成。
    • 4. 发明申请
    • SYSTEM AND METHOD FOR PROCESSING IMAGERY FROM SYNTHETIC APERTURE SYSTEMS
    • 从合成孔径系统处理图像的系统和方法
    • US20090179790A1
    • 2009-07-16
    • US12294811
    • 2007-03-19
    • Mohammed Jahangir
    • Mohammed Jahangir
    • G01S13/90G01S15/89
    • G01S13/9029G01S15/8904
    • A method of processing a temporal sequence of base images from a synthetic aperture system such as a synthetic aperture radar is provided that simplifies the task of identifying moving objects. The method comprises the steps of firstly temporally filtering a plurality of the base images to form a reference image, and secondly normalising the reference image with a base image to form a change detection image. The change detection image has the property that all moving objects are emphasised. Further processing can optionally be performed on the change detection image to remove false targets based on characteristics of the highlighted areas or on a temporal track taken over a plurality of change detection images. The invention allows detection of moving objects without requiring a Doppler return from a target. The invention extends to a system adapted to implement the method, and a computer program.
    • 提供了一种从诸如合成孔径雷达的合成孔径系统处理基本图像的时间序列的方法,其简化了识别移动物体的任务。 该方法包括以下步骤:首先对多个基本图像进行时间过滤以形成参考图像;其次,用基本图像归一化参考图像,以形成变化检测图像。 变化检测图像具有强调所有移动物体的特性。 可以可选地对变化检测图像执行进一步处理,以基于突出显示的区域的特征或者通过多个变化检测图像拍摄的时间轨迹去除假目标。 本发明允许检测移动物体,而不需要从目标物返回多普勒。 本发明延伸到适于实现该方法的系统和计算机程序。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR PROCESSING RADAR IMAGERY
    • 用于处理雷达图像的系统和方法
    • US20110299733A1
    • 2011-12-08
    • US13139882
    • 2009-11-04
    • Mohammed JahangirPaul Graham KealeyChristopher Paul MoateRobert David Hill
    • Mohammed JahangirPaul Graham KealeyChristopher Paul MoateRobert David Hill
    • G06K9/00
    • G01S13/9023G01S13/9029
    • The present invention relates to a system and method for processing imagery, such as may be derived from a coherent imaging system e.g. a synthetic aperture radar (SAR). The system processes sequences of SAR images of a region taken in at least two different passes and generates Coherent Change Detection (CCD) base images from corresponding images of each pass. A reference image is formed from one or more of the CCD base images images, and an incoherent change detection image formed by comparison between a given CCD base image and the reference image. The technique is able to detect targets from tracks left in soft ground, or from shadow areas caused by vehicles, and so does not rely on a reflection directly from the target itself. The technique may be implemented on data recorded in real time, or may be done in post-processing on a suitable computer system.
    • 本发明涉及一种用于处理图像的系统和方法,例如可以从相干成像系统导出。 合成孔径雷达(SAR)。 该系统处理在至少两个不同遍中拍摄的区域的SAR图像的序列,并且从每个遍的相应图像生成相干变化检测(CCD)基础图像。 通过一个或多个CCD基础图像图像形成参考图像,以及通过比较给定的CCD基础图像和参考图像而形成的非相干变化检测图像。 该技术能够从软地面或由车辆引起的阴影区域中的轨道中检测目标,因此不依赖于目标本身的直接反射。 该技术可以在实时记录的数据上实现,或者可以在适当的计算机系统上的后处理中完成。
    • 6. 发明授权
    • System and method for processing imagery from synthetic aperture systems
    • 用于处理来自合成孔径系统的图像的系统和方法
    • US07898457B2
    • 2011-03-01
    • US12294811
    • 2007-03-19
    • Mohammed Jahangir
    • Mohammed Jahangir
    • G01S13/90
    • G01S13/9029G01S15/8904
    • A method of processing a temporal sequence of base images from a synthetic aperture system such as a synthetic aperture radar is provided that simplifies the task of identifying moving objects. The method comprises the steps of firstly temporally filtering a plurality of the base images to form a reference image, and secondly normalising the reference image with a base image to form a change detection image. The change detection image has the property that all moving objects are emphasised. Further processing can optionally be performed on the change detection image to remove false targets based on characteristics of the highlighted areas or on a temporal track taken over a plurality of change detection images. The invention allows detection of moving objects without requiring a Doppler return from a target. The invention extends to a system adapted to implement the method, and a computer program.
    • 提供了一种从诸如合成孔径雷达的合成孔径系统处理基本图像的时间序列的方法,其简化了识别移动物体的任务。 该方法包括以下步骤:首先对多个基本图像进行时间过滤以形成参考图像;其次,用基本图像归一化参考图像,以形成变化检测图像。 变化检测图像具有强调所有移动物体的特性。 可以可选地对变化检测图像执行进一步处理,以基于突出显示的区域的特征或者通过多个变化检测图像拍摄的时间轨迹去除假目标。 本发明允许检测移动物体,而不需要从目标物返回多普勒。 本发明延伸到适于实现该方法的系统和计算机程序。