MULTIBAND COMMON-OPTICAL-PATH IMAGE-SPECTRUM ASSOCIATED REMOTE SENSING MEASUREMENT SYSTEM AND METHOD
    1.
    发明申请
    MULTIBAND COMMON-OPTICAL-PATH IMAGE-SPECTRUM ASSOCIATED REMOTE SENSING MEASUREMENT SYSTEM AND METHOD 有权
    多通道光路图像光谱相关远程感测测量系统及方法

    公开(公告)号:US20160327682A1

    公开(公告)日:2016-11-10

    申请号:US15108175

    申请日:2014-09-02

    CPC classification number: G01V8/10 G01J3/0208 G01J3/453 G01J2003/2826

    Abstract: 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.

    Abstract translation: 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。

    INFRARED IMAGE-SPECTRUM ASSOCIATED INTELLIGENT DETECTION METHOD AND APPARATUS
    2.
    发明申请
    INFRARED IMAGE-SPECTRUM ASSOCIATED INTELLIGENT DETECTION METHOD AND APPARATUS 有权
    红外图像相关智能检测方法和设备

    公开(公告)号:US20160371851A1

    公开(公告)日:2016-12-22

    申请号:US15104921

    申请日:2015-02-10

    Abstract: 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.

    Abstract translation: 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。

    MOVING PLATFORM BORNE INFRARED IMAGE-SPECTRUM ASSOCIATED DETECTION SYSTEM AND METHOD
    3.
    发明申请
    MOVING PLATFORM BORNE INFRARED IMAGE-SPECTRUM ASSOCIATED DETECTION SYSTEM AND METHOD 有权
    移动平台BORNE红外图像光谱相关检测系统和方法

    公开(公告)号:US20160370227A1

    公开(公告)日:2016-12-22

    申请号:US15104905

    申请日:2015-02-10

    Abstract: The present invention discloses a moving platform infrared image-spectrum associated detection system, including an optical hood, a broadband optical system, a two-dimensional servo system, an infrared optical fiber, a Fourier interference spectrum module, an image-spectrum associated detection processing module, a power supply module, and a display module. Incident light enters from the optical hood to the broadband optical system, and is split by a spectroscope. Transmitted light is focused by a long-wave imaging lens group on an infrared detector for imaging. Reflected light is focused by a broadband spectrum lens group to an optical fiber coupler, enters the Fourier interference spectrum module through the infrared optical fiber to form an interference pattern, and undergoes Fourier transform to obtain spectral data. The image-spectrum associated detection processing module effectively merges infrared imaging and broadband spectral data, and the two-dimensional servo system is used to control a center orientation of the broadband optical system, thereby implementing target detection, tracking and spectrum measurement in a moving platform condition. The present invention can effectively isolate the system from disturbance of the moving platform, has the capability of simultaneously performing scene imaging, local area spectrum measurement, and multi-target tracking spectrum measurement, has a high speed and an adequate data amount, and has a broad application prospect.

    Abstract translation: 本发明公开了一种移动平台红外图像相关检测系统,包括光学罩,宽带光学系统,二维伺服系统,红外光纤,傅里叶干涉光谱模块,图像相关检测处理 模块,电源模块和显示模块。 入射光从光学罩进入宽带光学系统,并被分光镜分离。 透射光通过长波成像透镜组聚焦在用于成像的红外检测器上。 反射光由宽带光谱透镜组聚焦到光纤耦合器,通过红外光纤进入傅里叶干涉光谱模块,形成干涉图案,进行傅里叶变换,得到光谱数据。 图像相关检测处理模块有效地融合了红外成像和宽带光谱数据,二维伺服系统用于控制宽带光学系统的中心定向,从而在移动平台中实现目标检测,跟踪和频谱测量 条件。 本发明可以有效地隔离系统与移动平台的干扰,具有同时执行场景成像,局域频谱测量和多目标跟踪频谱测量的能力,具有高速度和足够的数据量,并具有 广泛的应用前景。

    METHOD AND APPARATUS FOR DETECTING SPECTRAL CHARACTERISTICS OF MULTI-BAND MOVING OBJECTS
    4.
    发明申请
    METHOD AND APPARATUS FOR DETECTING SPECTRAL CHARACTERISTICS OF MULTI-BAND MOVING OBJECTS 有权
    用于检测多带移动物体的光谱特性的方法和装置

    公开(公告)号:US20130214164A1

    公开(公告)日:2013-08-22

    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。

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