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Conference on Optics and Communication Technology最新文献

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High-speed target recognition system based on spectral analysis and classification algorithm 基于光谱分析和分类算法的高速目标识别系统
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653471
Haixin Zhang, Man Zhao, Mingyang Li, Jichao Han
{"title":"High-speed target recognition system based on spectral analysis and classification algorithm","authors":"Haixin Zhang, Man Zhao, Mingyang Li, Jichao Han","doi":"10.1117/12.2653471","DOIUrl":"https://doi.org/10.1117/12.2653471","url":null,"abstract":"In this paper, a fast recognition system is designed to realize the fast recognition of high speed moving targets through effective analysis of the tail flame spectrum characteristics. The system is mainly composed of tracking imaging for target alignment and spectral analysis for target identification. The discriminating factor recognition algorithm is studied to realize the fast recognition of high-speed targets. The multi-band peak mean and valley mean ratio relations are studied and the effective discriminating interval is set to ensure the fast recognition of high-speed targets. The influence of the target velocity on the acquired spectrum is analyzed and the function relation between tangential velocity and radial velocity which determines the spectral shift is given. The experimental detection was carried out at a range of 0.5/1.0/2.0/4.0 km and a speed of 10-100 m/s on a small number of rocket tail flares. The results show that the larger the attenuation degree is, the larger the spectral amplitude difference is and the smaller the spectral morphology change is. In the same sampling period, the spectral distribution of different velocities showed obvious deviation, but the distribution morphology showed no change. By calculating the range of valley mean and peak mean and the inclusion relation among factors, the high speed target can be recognized effectively","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117318466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Single image dehazing based on linear transformation 基于线性变换的单幅图像去雾
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653748
H. Zhao, Zheng-ning Zhang, Jirong Tang
{"title":"Single image dehazing based on linear transformation","authors":"H. Zhao, Zheng-ning Zhang, Jirong Tang","doi":"10.1117/12.2653748","DOIUrl":"https://doi.org/10.1117/12.2653748","url":null,"abstract":"In order to solve the problems of sky distortion, edge artifact and overall dark of the restored image, a single image dehazing algorithm based on linear transformation was proposed. Firstly, adaptive compression normalize the hazy image, the ratio of the minimum channel to the maximum channel of the image is defined as the anti-saturation of the image, and the model of medium transmission and anti-saturation of the image without haze is established. Then, combining the linear transformation model between haze-free image anti-saturation and hazy image anti-saturation, the initial medium transmission is calculated by linear transformation, the medium transmission obtained by different linear transformation rates are weighted fused through the maximum channel map of image with haze, and the final medium transmission is obtained by fast guided filtering. Finally, atmospheric light values are derived from the quad-tree sub-block search method, and then the restored image is obtained. Both subjective and objective results of experimental simulation show that the algorithm has obvious recovery of details, good effect on the hazy images of different scenes, and good restoration effect on sky region.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133940935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on computational offloading strategies based on mobile edge computing 基于移动边缘计算的计算卸载策略研究
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653794
Xi Wang
{"title":"Research on computational offloading strategies based on mobile edge computing","authors":"Xi Wang","doi":"10.1117/12.2653794","DOIUrl":"https://doi.org/10.1117/12.2653794","url":null,"abstract":"With the advent and continuous development of the Internet of Things era, a large number of emerging applications, such as driverless, have emerged. Usually such applications need to consume a lot of computing resources and have high demand for low latency and data processing. However, the limited computing power of the devices themselves cannot meet the low latency and other needs of emerging applications, which limits the further development of IoT. Mobile edge computing (MEC) is an emerging computing paradigm where mobile devices interact directly with MEC platforms at the network edge and offload computational tasks to MEC servers to solve the problem of limited device resources. In this paper, we conduct an in-depth study of the computational offloading problem in mobile edge computing, and provide an in-depth and comprehensive summary of the current status and results of the research on MEC-oriented computational offloading strategies. First, the MEC technology and its typical application scenarios are introduced; then, the computation offloading strategy with optimized time, energy consumption, and hybrid goals for system performance gain is introduced from two aspects: single-user computation offloading and multi-user computation offloading.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131871270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A lightweight YOLOv5 garbage detection and classification method 一个轻量级的YOLOv5垃圾检测和分类方法
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653673
Mei Huang, Yongxin Chang, Liangbao Zhang, Shuaifeng Jiao
{"title":"A lightweight YOLOv5 garbage detection and classification method","authors":"Mei Huang, Yongxin Chang, Liangbao Zhang, Shuaifeng Jiao","doi":"10.1117/12.2653673","DOIUrl":"https://doi.org/10.1117/12.2653673","url":null,"abstract":"Aiming at the problems of unclear, difficult, and inefficient classification of traditional manual waste, and the difficulty of deploying large existing garbage classification network models, a lightweight garbage detection and classification network S-YOLOv5 is designed based on YOLOv5s. First, a garbage dataset containing 18 types of common household garbage is constructed and labeled according to the principles of garbage classification; secondly, a module combining shufflenetv2 and CoordAttention was introduced to replace the YOLOv5s backbone network, and the ReLU activation function in the shufflenet module was substituted by FReLU; finally the PANet structure was replaced by the BiFPN structure, so as to reduce the model complexity and achieve lightweight while maintaining a high mAP. The experimental results show that the size of S-YOLOv5 is only 2.6MB, which is about 1/6 of the original network size, and the mAP is 80.2%. The size of the proposed network is reduced while maintaining high accuracy, making it more suitable for deployment in smart devices.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-speed and high-maneuvering target detection method based on TRT and special GRFT 基于TRT和特殊GRFT的高速高机动目标检测方法
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2654041
Yang Wang, Qian Ma, Xiaokuan Zhang, Jiahua Xu
{"title":"High-speed and high-maneuvering target detection method based on TRT and special GRFT","authors":"Yang Wang, Qian Ma, Xiaokuan Zhang, Jiahua Xu","doi":"10.1117/12.2654041","DOIUrl":"https://doi.org/10.1117/12.2654041","url":null,"abstract":"For high-speed and high-maneuvering target detection, a detection method based on TRT and special GRFT is proposed in this paper. Firstly, the range migration and Doppler migration caused by target velocity and jerk are corrected by TRT. Secondly, estimation of target acceleration can be realized by special GRFT. Then, the estimated acceleration is used to construct a compensation function to correct the range migration and Doppler migration caused by acceleration. Finally, we can achieve coherent accumulation simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and implementation of an RSSI localization algorithm based on Kalman filter 基于卡尔曼滤波的RSSI定位算法的设计与实现
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653589
Haotian Luo, Bing Xue, Jiamu Zhang
{"title":"Design and implementation of an RSSI localization algorithm based on Kalman filter","authors":"Haotian Luo, Bing Xue, Jiamu Zhang","doi":"10.1117/12.2653589","DOIUrl":"https://doi.org/10.1117/12.2653589","url":null,"abstract":"To solve the problem of inaccurate accuracy and large noise signal of traditional RSSI location algorithm, especially in harsh environment with many obstacles and interference factors, we put forward a design and implementation of RSSI location algorithm based on Kalman filter is presented. Firstly, Kalman filter is used to filter the collected RSSI value signal as a whole to alleviate the problem of signal drift and impact and improve the state accuracy. Finally, an improved weighted quadrilateral ranging positioning algorithm is used to correct the filtered signal again to make the positioning of the nodes to be measured more accurate. The simulation results show that the trajectory after Kalman filtering is closer to the actual trajectory than that before filtering. The algorithm in this paper is compared with the traditional trilateral and quadrilateral ranging positioning algorithm. To a certain extent, the positioning error is smaller and more stable with the increase of the number of experiments.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121667035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aircraft swarm detection based on multi-scale-feature-fused attention 基于多尺度特征融合注意力的飞机群检测
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653695
Zebin Lin, Fan Xu, Zhigao Shang, Shuning Shao
{"title":"Aircraft swarm detection based on multi-scale-feature-fused attention","authors":"Zebin Lin, Fan Xu, Zhigao Shang, Shuning Shao","doi":"10.1117/12.2653695","DOIUrl":"https://doi.org/10.1117/12.2653695","url":null,"abstract":"To improve the detection performance of aircraft swarms in remote sensing images with characteristics of small target, scale diversity and dense distribution, a multi-scale-feature-fused attention mechanism is proposed and used for deep learning networks in this paper. Based on the fundamental YOLOv5 network, an enhanced multi-scale CBAM attention module that combines the channel attention and the spatial attention is performed on the fused feature maps at various stages and scales. Consequently, more detailed attention information can be obtained. Experimental results demonstrate that the proposed method can effectively improve the detection accuracy of aircraft swarm targets compared with some traditional methods. In detail, the proposed method can reach 9.2% higher recall than the original YOLOv5 and 3.4% higher recall than the YOLOv5 integrated with traditional CBAM modules while the computational cost is similar","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Difficulties in prism processing technology 棱镜加工技术难点
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653731
Xiaoqi Li, Zhe Liu
{"title":"Difficulties in prism processing technology","authors":"Xiaoqi Li, Zhe Liu","doi":"10.1117/12.2653731","DOIUrl":"https://doi.org/10.1117/12.2653731","url":null,"abstract":"The prism is one of the most important optical components in optical system, this paper analyzes the difficulties in processing technology. The angle accuracy of prisms can be improved by using slotted flat die, metal optic tooling, glass optic tooling and optic bonding tools. In this paper, the method of obtaining angle precision of prism with different batch and different precision grade is given, it has certain guiding significance for prism machining.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simulation and analysis of oceanic LIDAR signals 海洋激光雷达信号的仿真与分析
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653449
Hongbin Gao, Fujun Qi, Haoran Qi, Qiqi Wang, Ziwen Song, Huiping Liu
{"title":"Simulation and analysis of oceanic LIDAR signals","authors":"Hongbin Gao, Fujun Qi, Haoran Qi, Qiqi Wang, Ziwen Song, Huiping Liu","doi":"10.1117/12.2653449","DOIUrl":"https://doi.org/10.1117/12.2653449","url":null,"abstract":"The transmission model of underwater photons is established by Monte Carlo simulation to simulate laser detection of objects at a certain distance in the marine environment, and the effects of varying the transmission distance of 10m, 15m, 20m, 25m and the effect of varying the attenuation coefficient of the water body, the asymmetry factor, and the size of the receiving surface on the echo signal at 20m are simulated. The simulation results show that: the larger the transmission distance, the more serious the echo signal distortion and the greater the relative weight of backscattering; the more turbid the seawater, the more unfavorable the effective signal reception; the larger the asymmetry factor is, the better the signal is; increasing the size of the receiving surface can effectively improve the intensity of the echo signal.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128250143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on retinal vascular image segmentation method based on hybrid model 基于混合模型的视网膜血管图像分割方法研究
Conference on Optics and Communication Technology Pub Date : 2022-11-18 DOI: 10.1117/12.2653855
Chaoran Li
{"title":"Study on retinal vascular image segmentation method based on hybrid model","authors":"Chaoran Li","doi":"10.1117/12.2653855","DOIUrl":"https://doi.org/10.1117/12.2653855","url":null,"abstract":"Basing on morphological characteristics of retinal vascular structure and its changing, in order to realize the early diagnosis and quantitative analysis of the severity of diabetes, cardiovascular disease, and fundus disease ect, we propose a retinal vascular image multi-scale segmentation method based on hybrid model in this paper. First, combing the statistical principle and image enhancement method, the retinal vascular image was segmented and extracted. Second, a hybrid model consisting of a Gaussian model and two exponential models for vascular fitting was developed. Then, the K-means clustering method is used to estimate initial parameters, and the estimated parameters are iteratively processed to solve model parameters; Finally, the retinal vascular image is segmented according to the maximum a posteriori criterion to extract vessels. The experimental results on DRIVE database show that our proposed segmentation method can extract retinal vascular network effectively, and the segmentation accuracy is 94.62%. The proposed segmentation method can thus help the ophthalmologists in efficient retinal image analysis and fruitful treatment to the patient community.","PeriodicalId":253792,"journal":{"name":"Conference on Optics and Communication Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133185586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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