Compensation Method for Range-Gated 3D Imaging Inhomogeneity Based on ICCD Detector

doi:10.12382/bgxb.2022.0219

Abstract

Abstract:

Range-gated 3D imaging is a non-scanning technology that utilizes nanosecond shutter time characteristics of Intensified CCD (ICCD) detectors to achieve photon time-of-flight gated imaging. It finds valuable applications in long-distance surveying, underwater measurement, and target recognition in complex environments. Due to device technology limitations, there is often a phenomenon of asynchronous switching time in the actual ICCD detector shutter, resulting in serious inaccuracies in range-gated 3D imaging measurements. Based on the inherent gate opening time characteristics of ICCD detectors, a distance error matrix of different devices is obtained through testing, and a range-gated 3D imaging non-uniformity compensation method is proposed. The research results indicate that the proposed method can effectively reduce range-gated 3D imaging errors, improve the actual measurement accuracy, and have good engineering application value.

Key words: Intensified CCD, range-gated, 3D imaging, temporal nonuniformity

CLC Number:

TN249

SUN Lei, JIN Dongdong, JI Chunheng, PEI Chonglei, AN Hongbo, DUAN Enyue. Compensation Method for Range-Gated 3D Imaging Inhomogeneity Based on ICCD Detector[J]. Acta Armamentarii, 2023, 44(8): 2495-2502.

Figures/Tables 13

Fig.1 Range-gated imaging principle

Fig.2 Intensity and time-space correspondence of 2D images

Fig.3 The principle of triangular super-resolution 3D imaging

Fig.4 Basic composition of ICCD detector

Fig.5 Distance error model

Fig.6 Distance error simulation results

Fig.7 Theoretical distance matrix calculation

Fig.8 Portable laser imaging system

Fig.9 Range-gated images of the target plate at different distances

Fig.10 Depth image comparison of the target plate at 5m

Fig.11 Distance error comparison at 5m

Table 1 1 to 15m distance error comparison

距离/m	补偿前三维图像距离测量误差/m		补偿后三维图像距离测量误差/m
距离/m	均值	标准差	均值	标准差
1	-0.1284	0.1147	-0.0055	0.0139
3	-0.1687	0.1107	-0.0101	0.0144
5	-0.1200	0.1058	0.0141	0.0169
7	-0.1543	0.1043	-0.0146	0.0174
9	-0.1382	0.1073	0.0071	0.0169
11	-0.1404	0.1134	0.0105	0.0170
13	-0.1384	0.1139	0.0131	0.0187
15	-0.1664	0.1081	-0.0044	0.0155

Fig.12 Comparison of multi-target 3D imaging effects

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