Contrast Enhancement for Camouflage Target Detection Based on Feature Band Polarization Imaging

doi:10.12382/bgxb.2023.0761

Abstract

Abstract:

The spectral polarization detection technology utilizes the multidimensional information to improve the accuracy and reliability of camouflage target detection. The high-dimensional data generated by the existing spectral polarization imaging systems are difficultly processedin real-time, and the performance of spectral polarization detection in complex scenes is unsatisfied. To address this concern, a contrast enhancement camouflage target detection algorithm based on feature band polarization imaging is proposed. Specific feature bands are selected for the target scenes, and a feature band polarization image acquisition system is constructed by combining a 751nm narrowband filter with a snapshot polarized array camera to capture the feature band polarization images in real-time. Additionally, acontrast enhancement and interleaved sequence fusion detection (CEISFD) algorithm is proposed. It enhances the target contrast in the feature band polarization images through the designed polarization parameter image. The CEISFD algorithm fuses the results of contrast enhancement and interleaved sequence mapping, thus suppressing the background noises in the target images and further highlighting the target features. The camouflage target is then extracted by threshold segmentation. Experimental results demonstrate that the proposed algorithm achieves comprehensive evaluation metrics F above 0.90 in various scenarios, and its detection rate reaches 20 FPS, enabling fast and accurate detection of camouflage targets in complex environments.

Key words: camouflage target detection, spectral polarization image, imaging system, feature band, contrast enhancement

CLC Number:

TP391

SHEN Ying, HUANG Weida, ZHOU Zebing, HUANG Feng, WANG Shu. Contrast Enhancement for Camouflage Target Detection Based on Feature Band Polarization Imaging[J]. Acta Armamentarii, 2024, 45(10): 3488-3498.

Figures/Tables 10

Fig.1 Flowchart of camouflage target detection algorithm based on SPI

Table 1 Experimental conditions

实验名称	背景	距离/ m	入射角度/(°)	数据类型
波段筛选	草地	15	60	偏振多光谱图像
不同角度检测	草地	15	15,30, 45,60,75	SPI,VPI
小目标检测	草地	20	60	SPI,VPI
不同背景检测	草地、灌木、荒地	15	60	SPI,VPI
对比度增强	草地、灌木、荒地	15	60	SPI

Fig.2 Target contrast of parameter images in different bands

Table 2 Target contrast of parameter images in different backgrounds at 751nm band

背景	I_dolp,_s	I_d,_s	增长率/%
草地	0.58	0.85	46.55
灌木	0.38	0.50	31.58
荒地	0.59	0.75	27.12

Table 3 Parameter images in different backgrounds at 751nm band

Fig.3 Comparison of detected results of different algorithms at different incidence angles

Table 4 Detected results of different algorithms at different incidence angles

Fig.4 Comparison of detected results of different algorithms in different scenarios

Table 5 Detected results of different algorithms in different scenarios

Table 6 Computational efficiency of CEISF algorithm

组别	草地	草地小目标	灌木	荒地
运行时间/ms	36.26	38.15	37.52	38.33

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