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Target identification device and method based on ghost imaging calculation

A ghost imaging and target technology, applied in the field of target identification devices based on computational ghost imaging, can solve the problems of restricting the spectral range of target identification applications, increasing hardware and computing costs, and achieving low power consumption, small size, and large spectral response range Effect

Active Publication Date: 2017-05-31
NANJING UNIV OF SCI & TECH
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Problems solved by technology

The use of area array detectors greatly restricts the spectral range of target identification applications. At the same time, area array detectors need to work at 100% Nyquist limit, which greatly increases the hardware and computing costs required by the system.

Method used

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  • Target identification device and method based on ghost imaging calculation
  • Target identification device and method based on ghost imaging calculation
  • Target identification device and method based on ghost imaging calculation

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Experimental program
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Effect test

Embodiment

[0030] use figure 1 The method for identifying a target identification device based on computational ghost imaging, the steps are as follows:

[0031] In the first step, for the target to be detected with a resolution of 256×256 (such as figure 2 As shown), the high-speed spatial light modulator is used to generate a random uniformly distributed 0-1 speckle matrix, and the identification target is sampled 3276 times through the data acquisition module, and the corresponding sampling rate is about 5% of the Nyquist limit. First-order correlation is used for imaging, and the imaging results are as follows: image 3 shown. Obviously, image 3 It is very vague and cannot be directly identified by traditional identification methods.

[0032] In the second step, non-linear correlation is used to achieve target identification. Using the reconstructed image of ghost imaging calculated at a very low sampling rate ( image 3 ) with standard patterns (as shown in Fig. 4(a) stan...

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Abstract

The invention discloses a target identification device and method based on ghost imaging calculation. The device is formed by a mode-locked laser, a laser beam expander, a diaphragm, a high-speed spatial light modulator, an imaging lens, a high-speed photodiode, a digital acquisition module and the like. The method comprises the steps of utilizing a random speckle generated by the high-speed spatial light modulator for sampling a target to be identified, adopting the ghost imaging calculation for rebuilding the target, and realizing target identification under extra-low sampling ratio through nonlinear correlation. According to the target identification device and the method based on the ghost imaging calculation provided by the invention, an information acquisition method of the ghost imaging calculation is adopted, and a nonlinear correlation test is combined, so that not only is target identification with single pixel and low sampling ratio realized and is the spectral region of target identification expanded, but also the size of a detector is reduced, and the cost of an imaging system is reduced.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a target identification device and method based on computational ghost imaging. [0002] technical background [0003] Target identification technology is widely used in face recognition, remote sensing target detection and many other aspects, and has been widely used and concerned in military and commercial fields. At present, target identification mainly relies on the direct acquisition of target images by area array detectors (such as CCD cameras and CMOS cameras), and then combined with corresponding recognition algorithms for identification (such as [1] Lv Yingda. Key Theory and Technology Research of Digital Image Blind Identification [D]. Jilin University, 2015. [2] Liu Qian. Research on color face image feature extraction method [D]. Nanjing University of Posts and Telecommunications, 2015. [3] Wang Pengyu. Research on rotating object imaging identification metho...

Claims

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Application Information

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IPC IPC(8): G01S7/48G01S17/89G06T7/00
CPCG01S7/4802G01S17/89G06T7/0002G06T2207/10004G06T2207/20056
Inventor 顾国华邹云浩何伟基陈钱张闻文钱惟贤隋修宝任侃路东明于雪莲
Owner NANJING UNIV OF SCI & TECH
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