Research on Camouflage Recognition in Simulated Operational Environment Based on Hyperspectral Imaging Technology

Donge Zhao,Wenbo Chu,Xuefeng Yang,Bin Zhang,Shuyan Liu,Yayun Ma,Khalique Ahmed

doi:10.1155/2021/6629661

Donge Zhao, Wenbo Chu + Show 5 more

Open Access

https://doi.org/10.1155/2021/6629661

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Abstract

Hyperspectral imaging technology can obtain the spatial information and spectral information of the simulated operational background and its camouflage materials at the same time and identify and classify them according to their differences. In this paper, we collected the hyperspectral images (400–1000 nm) of the desert background, jungle background, desert camouflage netting, jungle camouflage netting, and jungle camouflage clothing through the hyperspectral imaging system, and the samples were preprocessed by denoising and black-and-white correction. Then, we analysed the region of interest (ROI) of the training samples by principal component analysis (PCA). After the pixels in the region of interest and their surrounding areas were averaged, 60% of the data was used as the training samples, and the remaining 40% was used as the test samples. According to their similarities and differences between them and referenced spectrum, the models of classification were established by combining the Naive Bayes (NB) algorithm, K-nearest neighbour (KNN) algorithm, random forest (RF) algorithm, and support vector machine (SVM) algorithm. The results show that among the four models, SVM model has the highest accuracy of classification and the recognition rate of jungle camouflage clothing is the highest. This study verifies the scientific and feasibility of hyperspectral imaging technology for camouflage identification and classification in a simulated operational environment, which has some practical significance.

Highlights

Camouflage technology uses patterns close to the background to achieve the purpose of hiding, which can enhance the concealment of the target and improve the survivability of the target on the combat environment
The multiband camouflage netting produced by Swedish Barracuda Company has adopted the principle of new absorption and ultralight structure and achieved the purpose of multispectral stealth compatibility through a multifunctional coating technology [3]. e ultralight camouflage netting system produced in the USA consists of hexagonal and diamond shapes joined by loops of rope, which are light and stable for use in camouflage netting system for infrared [4]
The Kennard-Stone (K-S) algorithm was applied to divide the samples of region of interest extracted in Section 2.1 [25]

Summary

Introduction

Camouflage technology uses patterns close to the background to achieve the purpose of hiding, which can enhance the concealment of the target and improve the survivability of the target on the combat environment. Traditional detection and recognition of camouflage targets mostly relied on magnifying observations of human eyes by optical instruments, but the effect of detection was usually poor [1]. The multiband camouflage netting produced by Swedish Barracuda Company has adopted the principle of new absorption and ultralight structure and achieved the purpose of multispectral stealth compatibility through a multifunctional coating technology [3]. With the diversification of camouflage technology in combat environment, it is difficult to evaluate the stealthy performance and survivability of targets comprehensively and accurately by traditional methods

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