Review of polarization imaging for international military application

Jin, Depeng; Fu, Qiang; Mo, Chunhe; Zhu, Yanyan; Liú, Dan

doi:10.1117/12.2033042

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…However, obvious differences in spectral and polarization features exist between military targets and natural objects. Multiband polarization imaging seeks to identify the geometric description of anomalous materials in cluttered background, even hidden or camouflage targets like tanks and armored vehicles under the trees [3,4,15,43,44,47]. Multiband polarization imaging detection visually enhances the contrast of hidden targets compared to intensity-only images.…”

Section: Surveillance and Reconnaissancementioning

confidence: 99%

“…Roughness and surface orientation can be reflected in the spectral polarization parameters, which is critical for inhomogeneous objects identification [14]. Multiband polarization imaging has demonstrated enhanced target detection and navigation in military applications [15,16]. Medical diagnosis with cytometry imaging and tissue assessment [17,18] and the other applications including the measurement of aerosol density in the atmosphere [19,20], geological exploration of glacier and vegetation distribution [21,22], image dehazing [23][24][25], land cover classification [26], pathologic diagnosis of epithelial tissues [27], and visualization of an object hidden in the shadow [28] are application examples to name a few.…”

Section: Introductionmentioning

confidence: 99%

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Multiband Polarization Imaging

et al. 2016

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Multiband polarization imaging is an emerging sensing method that enables simultaneous acquisition of multiband spectral and multiangle polarization information of an object of interest in the scene. Spectral signatures of the light reflected from a target reveal the characteristics of the material composing the target while polarized light provides useful information on the surface features such as light scattering and specular reflection. In multiband spectral imaging, combined spectral and polarization information offers a comprehensive representation of an object utilizing complementary spectral and polarization information in visual sensing. Multiband polarization imaging has demonstrated a potential in the recognition of targets in challenging operating environments such as low-contrast and hazy conditions. This paper presents the concept and recent advances of multiband polarization imaging techniques, in particular, a bioinspired multiband polarization vision system. Applications of multiband polarization imaging in various fields include atmospheric observation, object detection and classification, medical diagnostics, surveillance, and 3D object reconstruction.

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Section: Surveillance and Reconnaissancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiband Polarization Imaging

et al. 2016

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“…Polarization is the nature of light wave oscillating in different directions. Substances have different polarization characteristics due to their own properties, such as shape, roughness, surface characteristics, etc [1]. Polarization imaging detection technology based on polarization characteristics has been widely used in many fields, including medical diagnosis [2], military detection [3], image defogging [4] and so on.…”

Section: Introductionmentioning

confidence: 99%

Polarization imaging bi-attentional recursive residual super-resolution method

Liu

et al. 2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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Due to the limitation of the detector, the spatial resolution of the polarization image obtained by space-modulated full-polarization computed imaging is low. In general, there are a lot of valuable high-frequency components in low resolution space, but it is difficult to reconstruct high frequency information by deep learning method. Through the research of the previous super-resolution reconstruction method based on deep learning, it is found that it is difficult to obtain better lifting effect only by stacking residual blocks to build a deeper network. A polarization imaging bi-attention recursive residual super-resolution reconstruction method is proposed. In the network structure, bi-attention recursive residual group is used as the deep feature extraction module, and the hybrid bi-convolutional attention module contained in this module is used to adaptively learn image features of different channels and different transformation Spaces in the deep network. In order to provide the concentrated learning efficiency of high-frequency information, jump connections are introduced into the network structure, and the shallow feature extraction and reconstruction of images are completed by a convolution layer and a sub-pixel convolution algorithm respectively. The experimental verification is carried out under the actual imaging system and simulation data and compared with other methods in terms of visual effect and quantitative results. Experimental results verify that the proposed method can effectively reconstruct the contour structure and texture details of the detection target in subjective image quality and is superior to the comparison method in objective evaluation index.

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“…Defects inside a structure can be localized by analyzing the probe signals received by several instrumented transducers and reconstructing an imaging map using special algorithms. Imaging techniques have been revolutionized in biomedicine and military, [35][36][37][38] and their applications have also been introduced in concrete structures by some researchers in various ways, such as mobile and embeddable sensing methods. 39,40 Feng et al 41 conducted a reversetime loading imaging experiment in which damagescattered signals were collected by continuously changing the position of the receiving array element.…”

Section: Introductionmentioning

confidence: 99%

Damage imaging of concrete wall-like structures using cylindrical concrete implantable module

Yang

Chen

et al. 2022

Structural Health Monitoring

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In this study, an implantable array-based sensing technique for damage imaging of concrete wall-like structures was developed. Unlike conventional concrete damage imaging methods that require several distributive transducers instrumented in the detection structure, the proposed technique integrates a multi-transducer into a cylindrical concrete implantable module (CCIM) that can be directly implanted into the wall-like structures to transmit and receive probe signals based on a sensing array. Implantable designs within integrated sensing elements benefit the management of devices and provide a new transducer-to-structure installation for structural health monitoring (SHM). Furthermore, to analyze the received probe signals and visualize the structural defects, a novel damage-imaging algorithm aimed at a heterogeneous concrete medium was proposed. The algorithm assumed that each point in the detection space was a virtual scatter to simulate a series of signal transceiving processes using a computer. The virtual scattered signals received by the CCIM were projected onto the signals received under real damage conditions to reconstruct an imaging map. The reliability of the developed technique for damage imaging of heterogeneous concrete wall-like structures was studied both numerically and experimentally. The numerical study employed a 2-D mesoscale model considering concrete as a multiphase composite material and revealed the stress-wave propagation law in concrete. In the experiment, two fabricated CCIMs were implanted into a concrete wall-like specimen for signal transmission and reception. The imaging results acquired by simulation and experiment both successfully displayed the damaged area and exhibited excellent prospects for the implantable array-based sensing technique in SHM.

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Review of polarization imaging for international military application

Cited by 17 publications

References 6 publications

Multiband Polarization Imaging

Multiband Polarization Imaging

Polarization imaging bi-attentional recursive residual super-resolution method

Damage imaging of concrete wall-like structures using cylindrical concrete implantable module

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