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Method for detecting and classifying events of a scene that include firing threat type events

机译:用于检测和分类包括触发威胁类型事件的场景事件的方法

摘要

The subject of the invention is a method for detecting and classifying events of a scene by means of a single-pupil imaging system equipped with a VisNIR detector in the 0.6 μm-1.1 μm band and with an SWIR detector, which comprises steps of acquiring synchronized VisNIR and SWIR successive 2D images, of displaying the VisNIR images, and of processing these images, which consists in: comparing the SWIR images so as to determine, for each pixel, the variation in illumination from one SWIR image to another and the peak value of these SWIR illuminations, if this variation in SWIR illumination is greater than a threshold, then an event associated with said pixel is detected and: its date, its temporal shape and its duration are determined, in the VisNIR images, the coordinates are determined of the corresponding pixel for which: the variation in the illumination from one VisNIR image to another and the peak value of these VisNIR illuminations are calculated, and these variations in SWIR and VisNIR illumination and their peak values are compared so as to estimate a temperature of the event, the distance of the corresponding point of the scene is estimated so as to calculate the intensity of the event on the basis of the SWIR and VisNIR illuminations and on the basis of this distance, the total energy of the event is estimated on the basis of its temporal shape and of its intensity, the event is classified as a function of its duration, its temperature, its intensity and its energy, the previous steps are repeated for another pixel of the SWIR images.
机译:本发明的主题是一种通过配备有0.6μm-1.1μm波段的VisNIR探测器和SWIR探测器的单瞳成像系统来检测和分类场景事件的方法,该方法包括以下步骤: VisNIR和SWIR连续2D图像,显示VisNIR图像以及处理这些图像的方法包括:比较SWIR图像,以便为每个像素确定从一个SWIR图像到另一个SWIR图像的照明变化以及峰值在这些SWIR照明中,如果SWIR照明的这种变化大于阈值,则检测与该像素相关的事件,并:在VisNIR图像中确定其日期,其时间形状及其持续时间,确定坐标计算以下像素的对应像素:计算从一个VisNIR图像到另一幅VisNIR图像的照度变化以及这些VisNIR照度的峰值,以及SWIR和比较VisNIR照明及其峰值,以估计事件的温度,估计场景对应点的距离,以便根据SWIR和VisNIR照明并基于事件照明强度来计算事件的强度。在此距离的基础上,根据事件的时间形状和强度估算事件的总能量,并根据事件的持续时间,温度,强度和能量对事件进行分类,并重复前面的步骤用于SWIR图像的另一个像素。

著录项

  • 公开/公告号US9953226B2

    专利类型

  • 公开/公告日2018-04-24

    原文格式PDF

  • 申请/专利权人 THALES;

    申请/专利号US201515110937

  • 发明设计人 THIERRY MIDAVAINE;OLIVIER GARIN;

    申请日2015-02-05

  • 分类号G06K9;G01J1/02;G01J5;G01J5/02;G01J5/60;F41G3/14;G01J1/04;G01J1/42;G06T7/73;

  • 国家 US

  • 入库时间 2022-08-21 12:57:46

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