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Laser identification system based on the target pattern and the recognition feature

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CN103776297B
CN103776297B CN 201410033205 CN201410033205A CN103776297B CN 103776297 B CN103776297 B CN 103776297B CN 201410033205 CN201410033205 CN 201410033205 CN 201410033205 A CN201410033205 A CN 201410033205A CN 103776297 B CN103776297 B CN 103776297B
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CN 201410033205
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CN103776297A (en )
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蔡亚
牛亚飞
桑作军
方建芳
邵传飞
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中国人民解放军总参谋部第六十研究所
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Abstract

本发明涉及一种基于特征图形的激光目标识别系统及方法,包括场景生成单元、显示单元、至少二个激光发射部件、图像采集单元、滤光装置和目标解算单元,还包括至少二个微衍射光学元件,所述微衍射光学元件与激光发射部件一一对应,微衍射光学元件置于激光发射部与显示单元之间,所述各个微衍射光学元件产生的特征图像各不相同。 The present invention relates to a laser system and method for object recognition based on the feature pattern includes generating a scene unit, a display unit, the at least two laser emitting means, image acquisition means, the filter means and the target resolver unit further comprises at least two micro diffractive optical element, the diffractive optical element and a micro laser emitting member correspondence, micro diffractive optical element disposed between the laser emitting unit and the display unit, wherein each of said image generating micro diffractive optical element varies. 本发明通过单个图像采集单元识别多种激光目标,从而节约资源和空间,可广泛适用于各种模拟射击系统。 The present invention is a single unit identified by a plurality of laser target image acquisition, thereby saving resources and space, it can be widely applied to various analog firing systems.

Description

基于特征图形的激光目标识别系统及其识别方法 Laser identification system based on the target pattern and the recognition feature

技术领域 FIELD

[0001] 本发明属于目标识别技术领域,特别是一种可对同一环境中多种不同激光目标类型和光点坐标进行实时识别的基于特征图形的激光目标识别系统。 Laser target feature based pattern recognition system [0001] The present invention belongs to the technical field of object recognition, in particular, may be a real-time recognition of a plurality of different types of laser and the light target point coordinates in the same environment.

背景技术 Background technique

[0002] 激光目标识别主要用于在人机交互的三维场景中产生互动反应,比如武器模拟射击系统中。 [0002] Laser Target Identification is mainly used to produce three-dimensional scene of interactions of human-computer interaction, such as weapons firing simulation system. 现有激光目标识别系统采用基于激光波长的识别技术。 Target recognition system using the conventional laser-based recognition of the laser wavelength. 现有激光目标识别系统由场景生成单元、显示单元、激光发射部件、图像采集单元、目标解算单元组成,现有技术如需识别多种武器模拟器,则每增加一个模拟器就要增加一种不同波长对应的图像采集单元和滤光装置,造成资源和空间的浪费,且该现有技术受激光波长的限制,无法进行大量扩展,能够识别的目标类型有限,也限制了识别目标的数量。 Conventional laser target recognition system by the scene generation means, a display unit, a laser emitting member, an image acquisition unit, solving the target units, the prior art For various weapon simulator identification, each additional emulator will increase a different wavelengths corresponding to the image acquisition unit and the filter apparatus, waste of resources and space, and this prior art laser light wavelength is limited, a large number can not be extended, the limited target type can be identified, also limits the number of recognition target .

发明内容 SUMMARY

[0003] 本发明的目的在于提供一种基于特征图形的激光目标识别系统及其识别方法,能通过单个图像采集单元识别多种激光目标,从而节约资源和空间。 [0003] The object of the present invention is to provide a laser system and the target recognition based on the feature pattern recognition method, the image acquisition unit identifies the individual by a variety of laser target, thereby saving resources and space.

[0004] 实现本发明目的的技术解决方案为:提供一种基于特征图形的激光目标识别系统,包括场景生成单元、显示单元、至少二个激光发射部件、图像采集单元、滤光装置和目标解算单元,还包括至少二个微衍射光学元件,所述微衍射光学元件与激光发射部件的发射口处一一对应安装,所述微衍射光学元件置于激光发射部件与显示单元之间,所述各个微衍射光学元件具有不同特征图像的衍射孔,所述激光发射部件透过所述微衍射光学元件将光点显示在显示单元上,所述图像采集单元透过所述滤光装置采集显示单元上的特征图像,由所述目标解算单元运算后发送至场景生成单元,最后由场景生成单元转换形成的目标场景坐标通过连接的显示单元进行显示。 [0004] The purpose of the present invention art solutions: there is provided a laser-based object recognition system characteristic pattern, comprising a scenario generation unit, a display unit, the at least two laser emitting means, image acquisition means, the filter means and the target solution calculation unit, further includes at least two diffractive micro-optical element, the diffractive micro-optical element and the mouth-emitting laser emitting member mounting one correspondence, the micro diffractive optical element disposed between the laser emitting means and the display unit, the each of said micro-hole diffractive diffractive optical element has different features of the image, the laser emitting member micro diffractive optical element through the light spot on the display unit, the display unit through the image pickup optical collecting means wherein the image on the display unit, the resolver by the target calculation unit transmits to the scenario generation unit, and finally the target scene is formed by the coordinate conversion unit generating a scene through the display unit connected to the display.

[0005] 本发明的进一步限定技术方案是,前述的基于特征图形的激光目标识别系统,所述微衍射光学元件产生的特征图像采用两条相交线段为特征形状,不同的线段长度和相交角度代表不同的特征图形。 [0005] Further aspect of the present invention is defined is the laser target characteristic pattern recognition system based on the micro diffractive optical element produced using the two intersecting image features characterized by the shape of segments of different lengths and the angle of intersection of the line segment representatives different characteristics graphics.

[0006] 前述的基于特征图形的激光目标识别系统,所述微衍射光学元件为带有特征图形的平面透镜。 [0006] Based on the laser target characteristic pattern recognition system, the micro diffractive optical element is a planar lens with a characteristic pattern.

[0007] 前述的基于特征图形的激光目标识别系统,所述显示单元由投影仪和投影屏幕组成。 [0007] the laser target characteristic pattern recognition system based on the display unit by the projector and the projection screen composition.

[0008] —种基于特征图形的激光目标识别方法,包括以下步骤: [0008] - certain types of laser based feature pattern recognition method, comprising the steps of:

[0009] S1、由场景生成单元将三维虚拟场景或实拍场景通过显示单元进行显示; [0009] S1, generated by the three-dimensional virtual scene by scene units or Sign scene displayed on the display unit;

[0010] S2、激光发射部件安装在待识别目标上,激光透过微衍射光学元件,将微衍射光学元件上的特征图形通过衍射投射到一定距离处的屏幕上,形成特定图形的光点;各个微衍射光学元件产生的特征图像各不相同,从而有效区分不同的激光发射部件; [0010] S2, a laser emitter mounted on a member to be the recognition target, the laser transmitted through the micro diffractive optical element, wherein the micro-pattern on the diffractive optical element is projected onto a screen by the diffraction at a distance, forming a specific pattern of the light spot; wherein each micro-image generated by the diffractive optical element are different, so as to effectively distinguish different laser emitting means;

[0011] S3、图像采集单元通过滤光装置过滤掉其它无关的光源,对光点所在的屏幕进行扫描,将扫描获得的当前屏幕上包含所有光点的图片传递给目标解算单元; [0011] S3, the image acquisition unit out was filtered through a filter means independent of other light sources, where the light spot scanning a screen, comprising all the light spot on the image obtained by scanning the current screen is transmitted to the target resolver unit;

[0012] S4、目标解算单元的识别处理程序通过相空间转换方法提取出该图片上所有的直线和直线的端点信息,获得图片上所有光点的角度与长度,及光点坐标;通过比较预定义的目标类型与光点特征对应关系,解算出所有目标的类型和光点坐标,然后将目标类型和光点坐标传递给场景生成单元; [0012] S4, the target solver recognition processing program unit extracted by the phase space conversion method for an endpoint information for all the straight lines and the straight line on the image to obtain the angle and length, and spot coordinates of all the spot on the image; comparison wherein the target type light spot corresponding to a predefined relationship, and solution type calculating the coordinates of the light spot all the targets, and then passes the target type and the coordinates of the light spot to the scene generation means;

[0013] S5、场景生成单元将光点坐标转换成目标场景坐标,结合目标类型,计算出当前激光发射部件的各种状态,并显示在显示单元上。 [0013] S5, the scenario generating unit converts the spot coordinates to the coordinates of a target scene, combined type target, to calculate the current state of the various components of the laser emission, and displayed on the display unit.

[0014] 前述的基于特征图形的激光目标识别方法,所述微衍射光学元件产生的特征图像采用两条相交线段为特征形状,不同的线段长度和相交角度代表不同的特征图形。 Wherein the image [0014] of the laser target characteristic pattern recognition method based on the micro diffractive optical element produced using two intersecting line segment shape feature, different lengths and the angle of intersection of the line segment representative feature pattern.

[0015] 前述的基于特征图形的激光目标识别方法,所述微衍射光学元件为带有特征图形的平面透镜。 [0015] the laser target recognition based on the feature pattern, said diffractive optical element is a micro-lens plane with a characteristic pattern.

[0016] 前述的基于特征图形的激光目标识别方法,所述显示单元由投影仪和投影屏幕组成。 [0016] the laser target recognition based on the feature pattern, the display unit of the projector and the projection screen composition.

[0017] 本发明与现有技术相比,其显著优点:本技术方案通过在每个激光发射部件之前增加具有不同图像特征的微衍射光学元件,使得照射到显示单元上的激光点带有某种图像特征,使得采集的激光图形特征能够被准确地识别和定位,以单个图像采集单元识别多种激光目标,从而大幅节约资源和空间。 [0017] Compared with the prior art that significant advantages: The technical solution by increasing the micro diffractive optical element having different characteristics in the image before each laser emitting member, so that the laser spot irradiated on the display unit with a kinds of image feature such that the laser pattern feature acquisition can be accurately identified and positioned in a single image acquisition unit identifies various laser target, thus greatly saving space and resources.

[0018] 下面结合附图对本发明作进一步详细描述。 [0018] The following figures of the present invention will be further described in detail with.

附图说明 BRIEF DESCRIPTION

[0019]图1是本发明基于特征图形的激光目标识别系统的结构示意图。 [0019] FIG. 1 is a schematic view of the laser target recognition system based on a characteristic pattern of the present invention.

[0020]图2是本发明基于特征图形的激光目标识别系统的工作原理框图。 [0020] FIG. 2 is a block diagram of a laser-based object recognition system working pattern features of the present invention.

[0021]图3是本发明基于特征图形的激光目标识别系统的工作流程图。 [0021] FIG. 3 is a flow chart of a laser-based object recognition system of the present invention is characterized in pattern.

[0022] 图中:1场景生成单元,2显示单元,3激光发射部件,4图像采集单元,5,滤光装置,6目标解算单元,7微衍射光学元件。 [0022] FIG: a scenario generation unit, the display unit 2, a laser emitting section 3, the image acquisition unit 4, 5, the filter means, the target resolver unit 6, 7 micro diffractive optical element.

具体实施方式 detailed description

[0023] 本实施例提供一种基于特征图形的激光目标识别系统,如图1所示,包括场景生成单元1、显示单元2、至少二个激光发射部件3、图像采集单元4、滤光装置5和目标解算单元6,还包括至少二个由带有特征图形的平面透镜构成的微衍射光学元件7,显示部件由投影仪和投影屏幕组成,微衍射光学元件7与激光发射部件3的发射口处一一对应安装,微衍射光学元件7置于激光发射部件3与显示单元2之间,各个微衍射光学元件7具有不同特征图像的衍射孔,激光发射部件3透过微衍射光学元件7将光点显示在显示单元2上,图像采集单元透过滤光装置5采集显示单元2上的特征图像,由目标解算单元6运算后发送至场景生成单元1,最后由场景生成单元I转换形成的目标场景坐标通过连接的显示单元2进行显示。 [0023] This embodiment provides a laser-based object recognition system characteristic pattern shown in Figure 1, comprises a scenario generation unit 1, display unit 2, at least two laser emitting section 3, the image acquisition unit 4, the filter means 5 and the target resolver unit 6, further comprising at least two micro diffractive optical element consisting of a flat lens with a characteristic pattern 7, a display section composed of projector and the projection screen, the micro diffractive optical element 7 and the laser emitting member 3 emission mouth correspondence installation, micro diffractive optical element 7 is disposed between the laser emitting part 2 and the display unit 3, each micro diffractive optical element having a diffraction aperture 7 different features of the image, the micro-laser emitting member 3 through the diffractive optical element the light spot 7 on the display unit 2, the image acquisition unit 5 through the filter means on the characteristics of the image acquisition and display unit 2, calculated by the target calculation unit 6 transmits the solution to the scenario generation unit 1, the last I conversion unit generated by the scene the coordinates of the target scene display formed by the display unit 2 is connected.

[0024] 本技术方案通过在每个激光发射部件之前增加具有不同图像特征的微衍射光学元件,使得照射到显示单元上的激光点带有某种图像特征,使得采集的激光图形特征能够被准确地识别和定位,以单个图像采集单元识别多种激光目标,从而大幅节约资源和空间。 [0024] The present technical solution by increasing the laser emitting member before each micro diffractive optical element having different image characteristics, such that the laser spot irradiated on the display unit with a certain image features, characterized in that the laser pattern can be accurately acquired identify and locate, in a single image pickup unit identifies various laser target, thus greatly saving space and resources.

[0025] 本实施例的微衍射光学元件7产生的特征图像采用两条相交线段为特征形状,不同的线段长度和相交角度代表不同的特征图形;不同的特征图形的相交角度之间设置足以将不同的特征图形区别开来的几何保护间隔;不同的特征图形的线段长度之间设置足以将不同的特征图形区别开来的几何保护间隔。 [0025] This characteristic image micro diffractive optical element produced in Example 7 using two intersecting line segments is characterized by a shape, different lengths and the angle of intersection of the line segment representative feature pattern; disposed between intersecting angle different characteristic pattern sufficient to characterized in pattern to distinguish different geometric guard interval apart; provided sufficient characteristics different geometric pattern distinguishes between a guard interval length of the line pattern of the different features.

[0026] 微衍射光学元件是一块带有特征图形的平面透镜,激光通过该透镜后形成带有特征图形的光点。 [0026] The micro-optical element is a diffractive lens features a flat pattern, a light spot is formed with a characteristic pattern of the laser light through the lens. 特征图形具有以下要求:采用两条线段相交为专用设计形状,不同的特征图形有不同的相交角度和长度。 Characteristic pattern has the following requirements: The two line segments intersect special design shape, pattern different features have different lengths and angles of intersection. 引入多种目标特征时,为每个特征形状设置一定角度的几何保护间隔,避免误判。 When introducing more target features, angularly shaped geometric feature for each guard interval, to avoid false positives. 保护间隔的大小与图像采集单元4的分辨率及目标解算单元6的能力相关,通过实验确定。 Computing power unit 6 and the size of the guard interval resolution image acquisition unit 4 and the target decorrelation determined experimentally. 同时,采用两条相交线段为特征形状,容易实现不同目标的区分,且消耗计算资源少,计算量小。 Meanwhile, using the shape of two intersecting line segments is characterized, readily distinguish between different objectives to achieve, and consume less computing resources, a small amount of calculation.

[0027] 如图2、3所示,本发明基于特征图形的激光目标识别方法的工作过程为: [0027] As shown in FIG 2 and 3, the present invention is based on the laser working process of target recognition pattern is characterized:

[0028] 场景生成单元I将三维虚拟场景或实拍场景通过显示单元2进行显示; [0028] The scenario generation unit I three-dimensional virtual scene or scenes Sign 2 is displayed by the display unit;

[0029] 每个激光发射部件3包括一激光源,其前面都设有一微衍射光学元件7 ; 3 comprises a laser light source [0029] Each of the laser emitting part, the front has a micro diffractive optical element 7;

[0030] 激光源安装在待识别目标上,激光透过微衍射光学元件7,将微衍射光学元件7上的特征图形通过衍射投射到一定距离处的屏幕上,形成特定图形的光点;各个微衍射光学元件7产生的特征图像各不相同,从而有效区分不同的激光发射部件3 ; [0030] The laser light source is mounted on a target to be identified, via laser micro diffractive optical element 7, wherein the micro-pattern on the diffractive optical element 7 projected on a screen at a distance by the diffraction, the light spot formed in a specific pattern; each wherein the micro-image generated by the diffractive optical element 7 varies, so as to effectively distinguish different laser emitting member 3;

[0031]图像采集单元4通过滤光装置5过滤掉其它无关的光源,对光点所在的屏幕进行扫描,将扫描获得的当前屏幕上包含所有光点的图片传递给目标解算单元6; [0031] The image pickup unit 4 is filtered through a filter means 5 off the other light irrelevant, where the light spot scanning a screen, comprising all the light spot on the image obtained by scanning the current screen is transmitted to the target resolver unit 6;

[0032]目标解算单元6的识别处理程序通过相空间转换方法提取出该图片上所有的直线和直线的端点信息,获得图片上所有光点的角度与长度,及光点坐标。 [0032] The solver target recognition processing unit 6 extracts the program information for all endpoints in the straight line and the image line by a phase space conversion method, the angle and length obtained, and the coordinates of all the spot images on the spot. 通过比较预定义的目标类型与光点特征对应关系,解算出所有目标的类型和光点坐标,然后将目标类型和光点坐标传递给场景生成单元I ; Corresponding to the target type by comparing the spot wherein the predefined relationship, and solution type calculating the coordinates of the light spot all the targets, and then passes the target coordinates to the spot type and the scenario generating unit I;

[0033] 场景生成单元I将光点坐标转换成目标场景坐标,结合目标类型,计算出当前激光发射部件3的各种状态,并显示在显示单元2上。 [0033] I scenario generation unit converts the spot coordinates to the coordinates of a target scene, combined type target, to calculate the current state of various laser emitting member 3 and is displayed on the display unit 2.

[0034] 除上述实施例外,本发明还可以有其他实施方式。 [0034] In addition to the above-described embodiment exceptions, the present invention is capable of other embodiments. 凡采用等同替换或等效变换形成的技术方案,均落在本发明要求的保护范围。 Where the use of equivalent replacement or equivalent transformation formed aspect, the invention all fall within the scope of the present claims.

Claims (8)

1.基于特征图形的激光目标识别系统,包括场景生成单元(1)、显示单元(2)、至少二个激光发射部件(3)、图像采集单元(4)、滤光装置(5)和目标解算单元¢),其特征在于:还包括至少二个微衍射光学元件(7),所述微衍射光学元件(7)与激光发射部件(3)的发射口处一一对应安装,所述微衍射光学元件(7)置于激光发射部件(3)与显示单元(2)之间,所述各个微衍射光学元件(7)具有不同特征图像的衍射孔,所述激光发射部件(3)透过所述微衍射光学元件(7)将光点显示在显示单元(2)上,所述图像采集单元透过所述滤光装置(5)采集显示单元(2)上的特征图像,由所述目标解算单元(6)运算后发送至场景生成单元(I),最后由场景生成单元(I)转换形成的目标场景坐标通过连接的显示单元(2)进行显不O 1. Laser target characteristic pattern recognition system based on the scenario generating unit comprising (1), the display unit (2), at least two laser emitting means (3), an image acquisition unit (4), the filter means (5) and the target ¢ resolver unit), characterized by: further comprising at least two micro diffractive optical element (7), the micro diffractive optical element (7) and the laser emitting member (3) mounted one-mouth transmission, the micro diffractive optical element (7) is placed in a laser emitting member (3) and the display unit (2) between the respective micro diffractive optical element (7) having holes of different diffraction characteristics of an image, the laser light emitting means (3) through the micro diffractive optical element (7) a light spot displayed on the display unit (2), wherein the image on the display unit (2) via the image acquisition unit displays said filter means (5) is collected by the resolver target unit (6) after the operation is sent to the scenario generation unit (I), and finally the target scene by the scene coordinate unit (I) generated by the conversion is formed a display unit (2) was not connected to O
2.根据权利要求1所述的基于特征图形的激光目标识别系统,其特征在于:所述微衍射光学元件(7)产生的特征图像采用两条相交线段为特征形状,不同的线段长度和相交角度代表不同的特征图形。 2. The laser target feature based pattern recognition system according to claim 1, wherein: said image feature micro diffractive optical element (7) produced using two intersecting line segment feature shapes, lengths and different segments intersect an angle pattern representing different features.
3.根据权利要求1所述的基于特征图形的激光目标识别系统,其特征在于:所述微衍射光学元件(7)为带有特征图形的平面透镜。 The laser target feature based pattern recognition system according to claim 1, wherein: the micro diffractive optical element (7) is a flat lens with a characteristic pattern.
4.根据权利要求1所述的基于特征图形的激光目标识别系统,其特征在于:所述显示单元(2)由投影仪和投影屏幕组成。 The laser target feature based pattern recognition system according to claim 1, wherein: said display unit (2) by a projector and a projection screen composition.
5.根据权利要求1所述的基于特征图形的激光目标识别系统的目标识别方法,其特征在于包括以下步骤: 51、由场景生成单元将三维虚拟场景或实拍场景通过显示单元进行显示; 52、激光发射部件安装在待识别目标上,激光透过微衍射光学元件,将微衍射光学元件上的特征图形通过衍射投射到一定距离处的屏幕上,形成特定图形的光点;各个微衍射光学元件产生的特征图像各不相同,从而有效区分不同的激光发射部件; 53、图像采集单元通过滤光装置过滤掉其它无关的光源,对光点所在的屏幕进行扫描,将扫描获得的当前屏幕上包含所有光点的图片传递给目标解算单元; 54、目标解算单元的识别处理程序通过相空间转换方法提取出该图片上所有的直线和直线的端点信息,获得图片上所有光点的角度与长度,及光点坐标;通过比较预定义的目标类型与光 5. Target Recognition laser target recognition system based on the characteristic pattern, wherein according to claim 1 comprising the steps of: 51, the scene generated by the unit three-dimensional virtual scene or scenes Sign be displayed by the display unit; 52 , laser emitting member mounted on the target to be identified, via laser micro diffractive optical element, wherein the micro-pattern on the diffractive optical element is projected onto a screen by the diffraction at a distance, forming a specific pattern of the light spot; each micro diffractive optical wherein the image generated by the different elements, so as to effectively distinguish different laser emitting member; 53, an image acquisition unit to filter out other independent light source through a filter apparatus, where the light spot scans the screen, the current screen will be obtained by scanning angle of 54, the target solver recognition processing program unit extracted by the phase space conversion method for an endpoint information for all the straight lines and the straight line on the image to obtain all of the dots on the image; contains all the spot images is transmitted to the target solver unit the length, and the coordinates of the light spot; by comparison with a predefined target type light 点特征对应关系,解算出所有目标的类型和光点坐标,然后将目标类型和光点坐标传递给场景生成单元; 55、场景生成单元将光点坐标转换成目标场景坐标,结合目标类型,计算出当前激光发射部件的各种状态,并显示在显示单元上。 Point feature correspondence relationship, solves for the type and the spot coordinates of all targets, and then passes the target type and the spot coordinates to the scenario generation unit; 55, a scenario generation unit converts the spot coordinates to a target scene coordinates, with the target type, to calculate the current various states of laser emission member, and displayed on the display unit.
6.根据权利要求5所述的基于特征图形的激光目标识别系统的目标识别方法,其特征在于:所述微衍射光学元件产生的特征图像采用两条相交线段为特征形状,不同的线段长度和相交角度代表不同的特征图形。 6. Laser target identification target recognition system based on the characteristic pattern, wherein according to claim 5, wherein: said image feature micro diffractive optical element produced using the characteristic shape of two intersecting line segment, line segment length and different crossing angle pattern representing different features.
7.根据权利要求5所述的基于特征图形的激光目标识别系统的目标识别方法,其特征在于:所述微衍射光学元件为带有特征图形的平面透镜。 The laser target object recognition method based on the feature pattern recognition system of claim 5, wherein: said diffractive optical element is a micro-lens plane with a characteristic pattern.
8.根据权利要求5所述的基于特征图形的激光目标识别系统的目标识别方法,其特征在于:所述显示单元由投影仪和投影屏幕组成。 The laser target object recognition method based on the feature pattern recognition system of claim 5, wherein: the display unit is composed of projector and projection screen.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4259009A (en) * 1979-07-30 1981-03-31 The United States Of America As Represented By The Secretary Of The Navy Far field target designators
CN1700214A (en) * 2005-06-01 2005-11-23 中国人民解放军国防科学技术大学 Pulsed laser spot software synchronization acquisition method
CN1789947A (en) * 2005-12-19 2006-06-21 中国人民解放军总装备部军械技术研究所 Field online integrated tester for pulse laser emitter
CN101101199A (en) * 2006-12-29 2008-01-09 中国人民解放军总参谋部第五十四研究所 Laser parameter measuring device
CN103019258A (en) * 2012-11-28 2013-04-03 中国人民解放军装甲兵工程学院 Multi-target tracking indicating technology based on optical phased array and reverse optics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4259009A (en) * 1979-07-30 1981-03-31 The United States Of America As Represented By The Secretary Of The Navy Far field target designators
CN1700214A (en) * 2005-06-01 2005-11-23 中国人民解放军国防科学技术大学 Pulsed laser spot software synchronization acquisition method
CN1789947A (en) * 2005-12-19 2006-06-21 中国人民解放军总装备部军械技术研究所 Field online integrated tester for pulse laser emitter
CN101101199A (en) * 2006-12-29 2008-01-09 中国人民解放军总参谋部第五十四研究所 Laser parameter measuring device
CN103019258A (en) * 2012-11-28 2013-04-03 中国人民解放军装甲兵工程学院 Multi-target tracking indicating technology based on optical phased array and reverse optics

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