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Hole repair of 3D terrain mesh in satellite stereo image reconstruction

Hole repair of 3D terrain mesh in satellite stereo image rec...

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2024 International conference on Remote Sensing, Mapping, and Geographic information systems, RSMG 2024

作者： Bao, Qiwei Liu, Jun Liu, Xining Zhao, Limin Yuan, Zhanliang Chen, Xingfeng Li, Jiaguo Li, Huafu Zhang, Haixiang School of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo454003 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Sanya Institute of South China Sea Geology Guangzhou Marine Geological Survey China Geological Survey Sanya572024 China

ISBN: (纸本)9781510685826

When constructing a 3D surface grid using point cloud data closely matched with high-resolution satellite stereo images, holes often appear due to matching failures or limitations of triangulation algorithms, affecting the grid's integrity and the accuracy of subsequent applications. To solve this problem, a boundary contraction algorithm is studied for repairing mesh holes. The research focuses on different terrain conditions such as mountains, plains, and cities, and evaluates the effectiveness of boundary contraction algorithms in repairing holes. Using visual inspection methods, the quality of the repaired mesh is checked to ensure its integrity, smoothness, continuity, and topological correctness. The experimental results of GF-7 satellite images show that the boundary contraction algorithm can effectively fill holes in various terrain environments, significantly improving the geometric quality and overall integrity of the mesh, verifying its feasibility as a reliable mesh repair method, and providing strong support and verification for the application of the boundary contraction algorithm in actual terrain data processing. © 2024 SPIE.

关键词： Mesh generation

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Performance Evaluation of YOLOv5 and YOLOv8 Object Detection algorithms on Resource-Constrained Embedded Hardware Platforms for Real-Time Applications 29

Performance Evaluation of YOLOv5 and YOLOv8 Object Detection...

引用

29th IEEE International conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Peserico, Giovanni Morato, Alberto University of Padova Dept. of Information Engineering Italy National Research Council of Italy CNR-IEIIT Padova Italy

ISBN: (纸本)9798350361230

Object detection is a critical task in various real-time applications, including surveillance, autonomous vehicles, and industrial automation, especially within the emerging paradigms of Industry 5.0 and Industrial Internet of Things (IIoT). However, deploying such algorithms on resource-constrained embedded devices poses significant challenges due to their limited computational power and memory resources. This paper presents a comparative evaluation of YOLOv5 and YOLOv8, two state-of-the-art object detection algorithms, on different embedded hardware platforms. Leveraging insights from existing research, we aim to address this work by conducting comprehensive experiments to assess the performance of the proposed algorithm in terms of detection precision and inference speed on each hardware platform. The analysis provided encouraging results and revealed different behaviors, showing the importance of GPUs also for embedded systems. © 2024 IEEE.

关键词： Graphics processing unit

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Fabrication of Tapered devices with Fluoride and Chalcogenide optical Fibers for Mid-IR Applications 23

Fabrication of Tapered Devices with Fluoride and Chalcogenid...

引用

23rd International conference on Transparent optical Networks, ICTON 2023

作者： Anelli, Francesco Annunziato, Andrea Loconsole, Antonella Maria Portosi, Vincenza Francione, Vito Vincenzo Christian Falconi, Mario Pays Du Teilleul, Paul Le Cozic, Solenn Poulain, Samuel Prudenzano, Francesco Politecnico di Bari Department of Electrical and Information Engineering Via E. Orabona 4 Bari70125 Italy Le Verre Fluoré Bruz France

ISBN: (纸本)9798350303032

In this paper, advancements in fabrication techniques of fused optical fiber devices for the mid-infrared spectral range are reported. Fused optical fiber devices have revolutionized optical systems. Careful monitoring and control of the fabrication process are required to ensure consistent and reliable device performance when considering fluoride and chalcogenide optical fibers. The fabrication of tapered optical fiber and combiners via processing system Vytran GPX-2400 of fluoroindate and selenide glasses is here presented. A comparison between the taper of a single optical fiber and that of a combiner with seven optical fibers for both the adopted materials is discussed. The paper provides a practical framework and reference point to pave the way for the development of mid-infrared optical fiber devices, allowing the possibility to improve performance and versatility in lasing, sensing and imaging. © 2023 IEEE.

关键词： optical fibers

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Robust signal phase tracking in the gnss space-time array processing anti-interference receiver 6

Robust signal phase tracking in the gnss space-time array pr...

引用

6th International conference on Geoscience and Remote Sensing Mapping, GRSM 2024

作者： Xie, Yuchen Ni, Shaojie Ma, Ming Xiao, Wei Lei, Chen College of Electronic Science National University of Defense Technology Changsha China Key Laboratory of Satellite Navigation Technology Changsha China

ISBN: (纸本)9781510688018

Electromagnetic interference is one of the most serious threats to satellite navigation receivers, and the most effective countermeasures in the existing research is the space-time array processing (STAP) anti-interference technology. However, the traditional STAP will cause the signal signal phase to deviate, resulting in a decrease in phase tracking accuracy, or even serious consequences such as receiver loop loss. There are three bottleneck problem for the STAP bias correction, including the delay uncertainty in anti-interference filters, the non-ideal nature of the analog devices, and the unclearness of signal direction. Here, we propose a method for modifying the GNSS antenna array receiver’s signal phase deviation. Compared with the traditional algorithms, the proposed algorithm is implemented in a simple way and requires no a priori information. Simulation and 2 types of real data test results show that the proposed algorithm can effectively suppress the signal phase deviation caused by the STAP, and the residual error after the algorithm processing is less than 8°, which improves the receiver's signal phase tracking performance. © 2025 SPIE.

关键词： Antenna arrays

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Selection of Color Contrast Objects Against a Non-Stationary Background Using Modified HSV Model 6

Selection of Color Contrast Objects Against a Non-Stationary...

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6th IEEE International conference on information and Telecommunication Technologies and Radio Electronics, UkrMiCo 2023

作者： Popov, Anatoliy Vasilyeva, Irina Kosharskyi, Volodymyr Dergachov, Konstantin National Aerospace University Kharkiv Aviation Institute Department of Aerospace Radioelectronic Systems Kharkiv Ukraine National Aerospace University Kharkiv Aviation Institute Department of Information-Communication Technologies Named after O.O. Zelensky Kharkiv Ukraine National Aerospace University Kharkiv Aviation Institute Department of Aircraft Control Systems Kharkiv Ukraine

ISBN: (纸本)9798350348484

For the development of such smart systems based on the computer vision as, for example, unmanned aerial vehicles, driverless cars, etc. efficient image processing algorithms are required. These algorithms should provide the possibility to process images in a video stream, perform segmentation, select objects and define informative signatures for further recognition. Objects in optical images usually differ in color, shape, may have shadows, and they stand out against the non-stationary background of the terrain;that is why the HSV color model is often used for their selection. To select objects against the background of the terrain it is necessary to define their signatures and train the recognition system. However the variety of objects and the dependence of their color characteristics on changes in illumination pose a considerable problem. The paper proposes an alternative approach - to train the system to recognize the background, and the fragments of the image that are not recognized as the background should be classified as objects. For real-time estimation of the color parameters of the background it is proposed to convert the traditional HSV model into a one-dimensional signature to speed up calculations during processing. processing of the images received from an unmanned aerial vehicle by the proposed method makes it possible to select almost all objects of different colors, shapes and sizes against a heterogeneous background and to define their contours for further recognition. © 2023 IEEE.

关键词： Geometrical optics

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An Intrusion Detection Method Combining Bayesian Optimization and LightGBM

An Intrusion Detection Method Combining Bayesian Optimizatio...

引用

2023 International conference on algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2023

作者： Xu, Dongyuan Hua, Bin School of Information Engineering Ningxia University Yinchuan China

ISBN: (纸本)9781510671881

Network is a double-edged sword, which brings great convenience and some risks at the same time. Then intrusion detection, as a proactive and defensive technical means, plays a very important role in protecting information systems. Traditional intrusion detection systems have the problems of low detection accuracy and poor real-time performance, while the existing network intrusion detection data is not balanced, so this paper proposes an adaptive synthesis algorithm (ADASYN) oversampling + class balancing data balancing algorithm and an intrusion detection method of LightGBM combined with Bayesian optimization algorithm, aiming to solve the above problems. First, data preprocessing we encode the data with labels as well as unique heat encoding to better pass into the model for processing, after that we increase a few classes of data by ADASYN oversampling to make the number of samples in each class relatively balanced, and finally the features are passed into LightGBM for learning and training, and finally validated in the NSL-KDD dataset for multi-class classification experiments, and the results show that Compared with other traditional algorithms, all data are improved and show better performance. © 2023 SPIE. All rights reserved.

关键词： Intrusion detection

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EMG Signal Acquisition and processing for Muscle Contraction Classification 27

EMG Signal Acquisition and Processing for Muscle Contraction...

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27th IEEE Signal processing: algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Zirna, Bianca-Alexandra Mihailovschi, Denis Frunzete, Madalin Corneliu National University of Science and Technology POLITEHNICA Bucharest Faculty of Medical Engineering Bucharest Romania National University of Science and Technology POLITEHNICA Bucharest Applied Electronics and Information Bucharest Romania

ISBN: (纸本)9788362065486

Nowadays, the focus is on portable, non-invasive devices with a variety of functions, such as continuous monitoring through smartwatches or biologic signal-controlled prosthetic limb control. The signal acquisition and processing steps are the underlying principles behind all of these applications. This study proposes a low-budget Arduino-based acquisition system for recording forearm surface electromyography signals, which are then analyzed using Matlab software. The signals are recorded from four right-handed healthy individuals, following an established protocol consisting of ten 30 -second recordings per hand, with movements that alternate between five seconds of contraction and five seconds of relaxation. The classification results are then achieved by processing the data using the Support Vector Machine algorithm and GridSearch. There are four experiments conducted. The first one distinguishes between contraction and relaxation, then three additional experiments are performed following the same procedure (discriminations between gender, hand, gender and hand). Subsequently, a graphical user interface is designed to display the uploaded signal together with some details about the patients, the experiment, and the classification outcomes. The results achieved with the Arduino microcontroller are confirmed by performing the same steps using the Biopac system and comparing the outcomes in terms of metrics. © 2024 Division of Signal processing and Electronic systems, Poznan University of Technology (DSPES PUT).

关键词： MATLAB

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optical Character Recognition for Urdu Text: A Review of Techniques, Challenges, and Future Directions 5

Optical Character Recognition for Urdu Text: A Review of Tec...

引用

5th IEEE International conference on Advances in Electronics, Computers and Communications, ICAECC 2023

作者： Shaik, Moinuddin Ahmed Abdul, Wahid Maulana Azad National Urdu University Dept. of Computer Science and Information Technology Hyderabad India

ISBN: (纸本)9798350305449

In recent years, Urdu optical Character Recognition (OCR) systems have received considerable attention due to the increasing demand for automated recognition and analysis of text, which requires the development of robust OCR systems to convert printed and handwritten Urdu text into digital format. This article aims to provide a comprehensive overview of the most recent advances in OCR systems for Urdu. Analysing and synthesising 30 relevant research articles published between 2018 and 2023 to determine their contributions and future directions. Numerous studies have explored the use of deep neural networks, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs), to achieve high accuracy in character recognition by incorporating evolutionary algorithms, transfer learning, augmentation, and holistic unconstrained recognition systems. These models have demonstrated promising offline and online Urdu handwriting recognition results. The reviewed articles also shed light on the difficulties and limitations of existing Urdu OCR systems, such as the lack of standardised datasets, the dearth of annotated training data, and the need for robustness against noise and variations in handwriting styles. The literature discusses the development of more efficient algorithms, the investigation of multi-domain approaches, and the integration of deep learning techniques with other image processing techniques as future directions. The findings of this review will help researchers and practitioners in understanding the most recent techniques and challenges in Urdu OCR systems. © 2023 IEEE.

关键词： optical character recognition

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Low-loss Zero-index Waveguides and devices

Low-loss Zero-index Waveguides and Devices

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of conference on Lasers and Electro-Optics

作者： Dong, Tian Dai, Tianxiang Chen, Ye Liu, Yueyang Liu, Hancheng Wang, Yiting Ma, Anqi Hu, Haifeng Xu, Lihua Zhao, Le Chu, Weiguo Peng, Chao Wang, Jianwei Li, Yang State Key Laboratory of Precision Measurement Technology and Instrument Department of Precision Instrument Tsinghua University Beijing100084 China State Key Laboratory for Mesoscopic Physics School of Physics Peking University Beijing100871 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Nanofabrication Laboratory National Center for Nanoscience and Technology Beijing100190 China

We report flexible zero-index waveguides and devices whose loss is two orders of magnitude lower than the state of the art, enabling phase-error-free high-dense photonic integrated circuits for classical and quantum i... 详细信息

关键词： Photonic integrated circuits

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Efficient Low Light Video Enhancement Based on Improved Retinex algorithms

Efficient Low Light Video Enhancement Based on Improved Reti...

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2023 IEEE International conference on Multimedia and Expo Workshops, ICMEW 2023

作者： Lee, Sung-Ling Yang, Shih-Hsuan National Taipei University of Technology Department of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350313154

Videos shot in low-light environments suffer from low contrast and high noise. In this paper, an improved zero-reference low-light enhancement technique for videos based on the Retinex model is presented. The proposed method improves the existing Retinex approaches in several aspects. First, the image features extracted by the VGG network are employed as a part of the input to the generator of the Retinex parameters for increasing temporal stability. Second, a deformable convolution kernel is used to enhance the spatial correlation. Third, the optical flow between frames is approximated as a combination of affine linear transformations for reducing complexity. Compared with the state-of-the-art low-light enhancement algorithms, the proposed method achieves more favorable and stable image qualities in PSNR and SSIM with short processing time. © 2023 IEEE.

关键词： Linear transformations

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