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Metal-insulator-metal metasurface for strongly absorbing incident radiation in a wide wavelength range of 5-14μm 12

Metal-insulator-metal metasurface for strongly absorbing inc...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Gao, Zecheng Chen, Cheng Ye, Mao Yang, Guang Duan, Shenghua Zhang, Chunyu Zhu, Wenjie Hu, Jiaqi Ji, Wuyang Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

Optical stealth technology is very significant in coping with high-sensitivity infrared image detectors and various guided detectors. In recent years, great efforts have been made developing absorbers in the infrared regime. Although these approaches promise distinct advantages in performance enhancement, there are still some problems, such as limitations on sample size and bandwidth. Thus, we proposed an ultra-broadband absorber with metal-insulator-metal three-layer construction by using periodic array of ultra-thin metallic ribbons on top of the silicon oxide layer placed on a metallic reflector. The simulation results demonstrate that the average absorption rate of near 90% is realized by the proposed absorbing structure in 5μm-14μm. Meanwhile, the proposed ultra-broadband absorber is low cost, compact, and large-area processing, which can be flexibly and easily scaled up for mass production via plasma enhanced chemical vapor deposition, magnetron-sputtering deposition, and electron-beam-evaporation deposition. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Plasmonics

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Accurate Laser Line Extraction Algorithm Based on Morphological Features under Strong Interference 12

Accurate Laser Line Extraction Algorithm Based on Morphologi...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Wu, Yuanzhe Ye, Liang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan430205 China Hubei Engineering Research Center of Video Image and HD Projection Wuhan430205 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

In outdoor complex lighting environments, laser stripe extraction becomes challenging due to the possibility of strong exposures in the external environment as well as reflective interference on the road surface. In order to overcome these problems, this paper proposes a multi-feature structured light extraction algorithm based on seed neighborhoods, which utilizes multiple seed points and comprehensively considers the laser stripe features, especially the morphological features of the optical stripes in their surrounding neighborhoods, so as to obtain the approximate distribution location of the real laser stripe. Finally, the laser streak extraction is performed by the gradient difference of the optical streak boundary as well as its own brightness. The experimental results show that the method is still effective in extracting laser lines even in high exposure environments where there are interferences such as reflections on the road surface. © 2024 SPIE.

关键词： Luminance

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An electrically controlled liquid-crystal (LC) interference filter by light orientation for infrared multispectral imaging 12

An electrically controlled liquid-crystal (LC) interference ...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Liu, Kewei Ye, Mao Wang, Zhe Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

This paper presents an electrically controlled liquid-crystal (LC) interference filter in the infrared multispectral imaging system. Based on the theory of multi-beam interference, the proposed structure utilizes a pair of parallel flat plates with a reflectivity of ∼95% to form a Fabry-Perot (FP) cavity, realizing constructive interferences and destructive interferences in specific wavelengths for incident infrared broad-spectra. The filtering performance of the proposed structure can be controlled by incorporating electrode layers based on the electro-optical properties of LC. We simulate the filtering characteristics of the proposed structure according to the elastic continuum theory of LC. Then the zinc selenide (ZnSe)-based LC filter with a preset cavity depth of 50 μm was fabricated with light orientation instead of the conventional friction orientation method. An infrared spectra test system was built to measure the performance of the fabricated interference filter. The experimental results successfully demonstrate the filtering characteristics covering three important infrared window bands in accordance with the simulated results by applying different root mean square (RMS) voltages. Also, the fabricated filter brings a sharper transmission peak waveform in a higher frequency infrared band. The proposed filter has a low cost and weight and is easy to install, laying the foundation for developing full-wave infrared multispectral imaging systems. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Liquid crystals

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Depth from focus with electrowetting liquid lens 12

Depth from focus with electrowetting liquid lens

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Zhang, Chunyu Hu, Jiaqi Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

Depth from focus and defocus is an effective technique to extract depth information from a set of images, which is called focal stack. In prior studies, this technology was commonly operated on complex laboratory imaging equipment. In this paper, a new imaging system based on electrowetting liquid lens is proposed. Electrowetting liquid lens is one of the adaptive lens which has adjustable focal length controlled by voltage signal. The focal stack can be easily got by sweeping the applied voltage without mechanical moving part. To eliminate the field of view (FOV) variations during the process of capturing focal stack, which is called focal breathing, we proposed an algorithm based on conventional flow concatenation to align focal stack images. We test the proposed imaging system on both laboratory scene and mobile phones, and the experiments demonstrate this imaging system can capture high quality images and shows excellent performance in extracting depth information without complex mechanical structure. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Imaging systems

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MIPPR 2023: Remote Sensing image processing, Geographic Information Systems, and Other Applications

MIPPR 2023: Remote Sensing Image Processing, Geographic Info...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

ISBN: (纸本)9781510674998

The proceedings contain 25 papers. The topics discussed include: a method for cloud removal in remote sensing images based on attention mechanism and residual symmetric connection structure;research on deep learning-based land cover extraction method using multi-source mixed samples;a lossless compression of remote sensing images based on ANS entropy coding algorithm;research on the impact of change features for remote sensing image change detection;supervised spiking neural network for SAR image recognition: analysis of encoding methods and performance under strong noise influence;an edge-guided network for building footprint extraction from optical remote sensing images;and planting areas extraction of sugarcane using multi-feature fusion method based on Sentinel-2A satellite images.

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Typical Scene Material Classification Based on Remote Sensing image Data 12

Typical Scene Material Classification Based on Remote Sensin...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Gao, Yang Dai, Ling Li, Haipeng Zhang, Yini Wang, Feng Beijing Aerospace Automatic Control Institute Beijing100854 China School of Electrical and Automation Engineering Nanjing Normal University Jiangsu Nanjing210023 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

In spectral scene simulation applications, it is necessary to recognize and detect desert satellite images and satellite images containing water. However, previous network models such as AlexNet, VggNet, and GoogleNet have gradually fallen behind the trend of the times. Compared with the latest network models, they not only have slow training speeds but also do not achieve high accuracy. Therefore, this study adopts a series of the latest network models to solve this problem and compare and analyze the results. © 2024 SPIE.

关键词： Semantic Segmentation

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MIPPR 2023: Parallel processing of images and Optimization Techniques;and Medical Imaging

MIPPR 2023: Parallel Processing of Images and Optimization T...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

ISBN: (纸本)9781510674974

The proceedings contain 3 papers. The topics discussed include: contextual attention U-Net: a deep learning-based model for decoding brain characteristics of smokers;a shape and texture feature blending network for bone marrow cells classification using auxiliary learning;and an improved depth reconstruction method for unstable illumination environments in endoscopic surgeries.

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A two-stage network for underwater image enhancement based on dual attention and multi-color space stretch 12

A two-stage network for underwater image enhancement based o...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Liu, Jie Cao, Li Deng, He Fu, Yang Wuhan Polytechnic University Wuhan Hubei430024 China Wuhan University of Science and Technology Qingshan No. 947 Heping Avenue Wuhan China Wenhua College Wuhan 430223 China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

Underwater images can provide the underwater information intuitively and effectively. However, due to wavelength and distance related attenuation and scattering, underwater images may exhibit color distortion and low contrast. To address these two degradation issues, a novel two-stage network named as DAMcS-Net is proposed in this paper. In the first stage, a dual attention module that combines channel attention and spatial attention mechanisms is designed to amplify the network's perception of detail textures. In the second stage, a multi-color space stretch module is designed to adaptively adjust the histogram distribution in RGB, HSI, and Lab color spaces, so that color projection and artifacts can be eliminated effectively. Quantitative and qualitative experiments show that our model has achieved state-of-The-Art performance in comparison with existing methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： image enhancement

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EPM-Net: A better way for optical and infrared scene matching via edge point 12

EPM-Net: A better way for optical and infrared scene matchin...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Huang, Shixiang Chi, Longyun Fu, Wenxing Tian, Jinwen National Key Laboratory of Multispectral Information Intelligent Processing Technology Huazhong University of Science and Technology Wuhan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781510674943

ISBN: (纸本)9781510674936

As a crucial auxiliary technique in inertial navigation, scene matching has been widely applied in aircraft navigation and guidance. To enhance the adaptability and efficiency of scene matching algorithms in complex environments, existing approaches have gradually shifted towards heterogeneous scene matching, such as optical/ infrared scene matching based on deep learning features, with a focus on point features. However, due to the complex and diverse nonlinear distortions between optical and infrared images, the matching accuracy often fails to meet the practical requirements of navigation and positioning. In view of this problem, an EPM-Net algorithm based on edge features is proposed to improve matching performance by extracting more stable and discriminative edge point descriptors. Experimental results on infrared datasets demonstrate that this method achieves an average matching accuracy improvement of more than four times compared to traditional and existing deep learning methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep learning

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Tuning of near-field optical properties based on magneto-tip array super-surfaces 12

Tuning of near-field optical properties based on magneto-tip...

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SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Chen, Cheng Gao, Zecheng Duan, Shenghua Yang, Guang Zhang, Chunyu Wang, Zhe Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

A method of light wave modulation on a magnetic nano-tip hypersurface was investigated within the wavelength range of 3-14 μm, and a hypersurface was constructed on a silicon wafer using magnetic nano-film to perform light control using the magnetization of the magnetic nano-tip to achieve the desired light absorption. Through the magnetic nanotip hypersurface, the incident light waves hypersurface can be highly confined in the arrayed magnetic nanotip to achieve near-field light enhancement and light focusing, and significantly reduce the infrared reflectivity to achieve efficient absorption of infrared light waves. The infrared reflectivity of the structured surface shows a tunable variation by adjusting the structural parameters of the magnetic nano-tip super-surface. The experiments show that the silicon-based magnetic film nano-tip array achieves stronger nanofocusing and higher absorption rate than the conventional nano-tip array based on metal film. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Surface plasmons

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