General review of optical polarization remote sensing

Yan, Lei; Li, Yanfei; Chandrasekar, V.; Mortimer, Hugh; Peltoniemi, Jouni; Lin, Yi

doi:10.1080/01431161.2020.1724350

Cited by 58 publications

(22 citation statements)

References 57 publications

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“…The special polarization state (circular polarization state) of some substances in a specific direction is helpful for underwater submarine search and tracking [43,44]. In the field of remote sensing ground object detection, according to the basic principle that different substances have different polarization information, polarization detection can obtain the distribution information of vegetation, minerals and other substances on the Earth, providing more abundant data for geological investigation, mineral exploration and vegetation protection, etc., which is more active in the field of gas detection and sea surface detection [45,46]. Polarization imaging technology can be used to more clearly record the physical structure and distribution inside the clouds and determine whether there are clouds and oil stains on the sea surface [47,48].…”

Section: Application Of Stoker Vector Polarization Imagingmentioning

confidence: 99%

Principle and Implementation of Stokes Vector Polarization Imaging Technology

Wang

Sun³

et al. 2022

Applied Sciences

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Compared with traditional imaging methods, polarization imaging has its unique advantages in many directions and has great development prospects. It is one of the hot spots of research and development at home and abroad. Based on the polarization imaging principle of Stokes vector, the realization methods of non-simultaneous polarization imaging and simultaneous polarization imaging are introduced, respectively according to the different polarization modulation methods of Stokes vector acquisition. Non-simultaneous polarization imaging is mainly introduced in two ways: rotary polarization imaging, electrically controlled polarization imaging, and the simultaneous polarization imaging is mainly introduced in three ways: divided amplitude polarization imaging, divided aperture polarization imaging, and divided focal plane polarization imaging. In this paper, the principle and realization of polarization imaging based on Stokes vector are introduced to boost the application of polarization imaging and promote the research and development of polarization imaging technology.

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Section: Application Of Stoker Vector Polarization Imagingmentioning

confidence: 99%

Principle and Implementation of Stokes Vector Polarization Imaging Technology

Wang

Sun³

et al. 2022

Applied Sciences

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“…Nevertheless, simultaneous diffraction of both linear polarization states with equal efficiency is possible at a very specific operating point (see [7] for a detailed description). In the latter case, there is "Double Diffraction" [10] with two diffracted light beams at the crystal output, as well as potentially a transmitted light beam (that fades out under appropriate acoustic power), as illustrated in figure 1. The two simultaneously diffracted beams are orthogonally polarized.…”

Section: Simultaneous Diffraction Of Unpolarized Lightmentioning

confidence: 99%

“…They can also split an unpolarized beam into two orthogonal linear polarized beams [7]. Knowledge and control of the polarization state of an optical beam are of crucial importance in applications such as sensing [8][9][10] or laser beam modulation [11]. When combined with an imaging system, the ability to analyse the polarization can provide important information about the object observed [12,13] and it is beneficial in various applications including biomedical analysis [14], the military sector to detect targets and mines [15], or environmental sciences and agriculture to provide information about plants and crops [16,17].…”

Section: Introductionmentioning

confidence: 99%

Equal-efficiency diffraction of unpolarized wideband light with acousto-optic filters

Dupont¹,

Champagne²,

Kastelik

2022

Journal of Modern Optics

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We present the diffraction of unpolarized light over a broad wavelength range using paratellurite Acousto-Optic Tunable Filters. The diffraction of unpolarized light usually relies on a specific operating point that is sensitive to the wavelength and angle of incidence, resulting in an operating ability over a narrow bandwidth. We present a detuning strategy to eliminate the angular dependence and obtain equal diffraction efficiency for both the linear polarization states over a broad bandwidth. We explain how to find the optimum operating frequency and present its dependency as a function of the wavelength. With the quasi-phase matching condition presented, the diffraction of unpolarized light over the 400 nm to700 nm band is possible with an efficiency of over 80%.

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“…OLARIZATION, as one of the basic physical properties of light field besides amplitude, phase and frequency, has attracted increasing attention in recent years [1]. Polarization imaging technology has been applied in numerous fields, including remote sensing [2], medical diagnoses [3], defogging [4], underwater imaging [5], facial recognition [6], and target detection [7].…”

Section: Introductionmentioning

confidence: 99%

Rapid Detection of Camouflaged Artificial Target Based on Polarization Imaging and Deep Learning

et al. 2021

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Polarization imaging has the advantage of detecting artificial targets based on their intrinsic characteristics. However, with the development of camouflage materials and camouflage shielding performance, the anti-optical detection technology for camouflaged targets continues to improve. In this paper, we combine the advantages of polarization imaging and deep learning to achieve rapid detection of artificial targets camouflaged in natural scenes. Firstly, we propose a Stokes-vector-based parameter image to show the polarization specificity of the camouflaged artificial targets. Then, a detection method is proposed, which uses an Otsu segmentation algorithm and morphological operations to extract polarization signatures of the target from the proposed parameter image, and utilizes the extracted polarization signatures to highlight the camouflaged artificial targets. Finally, we improve a self-supervised deep learning network to enhance the low-light images, extending the application of our method into low illumination environment target detection. Experimental results demonstrate that our method can effectively detect the camouflaged artificial targets with a detection rate better than 80%, which has potential application value in the fields of military target detection, security monitoring, and remote sensing.

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General review of optical polarization remote sensing

Cited by 58 publications

References 57 publications

Principle and Implementation of Stokes Vector Polarization Imaging Technology

Principle and Implementation of Stokes Vector Polarization Imaging Technology

Equal-efficiency diffraction of unpolarized wideband light with acousto-optic filters

Rapid Detection of Camouflaged Artificial Target Based on Polarization Imaging and Deep Learning

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