Contents
2021
Volume: 58 Issue 16
54 Article(s)

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Atmospheric Optics and Oceanic Optics
Objects Detection from High-Resolution Remote Sensing Imagery Using Training-Optimized YOLOv3 Network
Yun Yang, Longwei Li, Siyan Gao, Han Bai, and Wancheng Jiang
The traditional YOLOv3 model uses ImageNet and COCO datasets for training, in which the scene target characteristics are significantly different from those in test datasets, and leads to low detection accuracy of complex scene targets in high-resolution remote-sensing images. This paper optimizes the training process o
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1601002 (2021)
Holography
Adaptive Image Block Hiding Technology Based on Optical Spatial-Frequency Domain Transform
Yan Wang, and Hongwei Niu
Aiming at the problem of large-capacity information embedded in information hiding technology reducing the concealment and robustness, an adaptive image block hiding technology based on optical spatial-frequency domain transform was proposed. The gray-level correlation analysis and echo state network were used to form
Laser & Optoelectronics Progress
  • Publication Date: Jul. 22, 2021
  • Vol. 58, Issue 16, 1609001 (2021)
Image Processing
Probability-Based Diagnostic Imaging Method of Fatigue Damage for Carbon Fiber Reinforced Plastic Based on ToF Damage Factor
Qiongying Kong, Bo Ye, Weiquan Deng, Chen Chen, and Danhong Wang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 21, 2021
  • Vol. 58, Issue 16, 1610002 (2021)
A Vision Measurement Method for Gear Structure Assembly
Hangyu Li, Xiang Huang, Wenmin Chu, Kuai Zhou, and Ziyue Zhao
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610003 (2021)
Multitarget Tracking Algorithm Based on an Improved YOLOv3 Algorithm
Xiangsheng Zhang, and Qing Shen
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610004 (2021)
Research on Multi-Frame Sea Surface Image Super Resolution Algorithm Based on Deep Learning
Yushuang Zhang, Wenbo Han, Danfei Huang, Liying Zhao, and Aiqi Zhong
In recent years, deep learning has made a great achievement in image super-resolution reconstruction. Due to the complex ocean environment, the traditional image super-resolution algorithm has some problems, such as the difficulty in adjusting parameters. In addition, the single frame image super-resolution algorithm h
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610005 (2021)
Underwater Image Enhancement Based on Pyramid Attention Mechanism and Generative Adversarial Network
Yue Wang, Dexing Wang, Hongchun Yuan, Ruoyou Wu, and Peng Gong
This study proposes an underwater image enhancement algorithm based on the pyramid attention mechanism and generative adversarial network (GAN) to improve the enhancement effect of underwater images. It uses the generative adversarial network as the basic architecture, and the generative network adopts the encoding and
Laser & Optoelectronics Progress
  • Publication Date: Aug. 21, 2021
  • Vol. 58, Issue 16, 1610006 (2021)
Application of an Improved Threshold Segmentation Algorithm in Lens Defect Detection
Yu Cao, and Chuanpeng Xu
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610007 (2021)
Image Semantic Segmentation Method Based on Improved DeepLabv3+ Network
Cong Xu, and Li Wang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610008 (2021)
Nonlinear Grayscale Difference Image Registration Based on Stacked Autoencoder Network
Chao Huang, Hao Guo, Yan Gao, and Jubai An
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610009 (2021)
Vehicle Recognition Method Based on Improved YOLOv3 Algorithm
Yongshun Wang, Wenjie Jia, Chenfei Wang, and Hui Song
An improved YOLOv3 algorithm that detects target vehicles is proposed to address the problems of low detection accuracy of small targets and poor robustness of systems in target vehicle detection. First, the proposed algorithm introduces the dilated convolution into the downsampling layer of the YOLOv3 algorithm, impro
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610010 (2021)
Object Tracking Based on Adaptive Feature Fusion and Context-Aware
Yuanfa Ji, Chuanji He, Xiyan Sun, and Ning Guo
The description of a target’s appearance greatly influences the performance of a correlation filter tracker. It is difficult to obtain an accurate description of target’s appearance using a single feature. Therefore, the target appearance description based on multiple features can improve the tracking performance in co
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1610011 (2021)
Blurred License Plate Character Recognition Algorithm Based on Deep Learning
Caizhen Zhang, Ying Li, binlong Kang, and yuan Chang
With the construction of urban smart parking lots and the popularization of automatic toll collection systems at high-speed intersections, license plate recognition technology based on deep learning has been widely used. In order to solve a large number of blurred license plate character recognition in reality, a chara
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610012 (2021)
Spectral Matching Operator Based on Position Vector Statistics
Shijie Deng, Haiyan Wang, Mengai Wang, and Chengzhe Fang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610013 (2021)
Blind Restoration for Underwater Image Based on Sparse Prior of Red Channel
Jun Xie, Guojia Hou, Guodong Wang, and Zhenkuan Pan
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610014 (2021)
Super-Resolution Infrared Remote-Sensing Target-Detection Algorithm Based on Deep Learning
Shuo Huang, Yong Hu, MingJian Gu, Cailan Gong, and Fuqiang Zheng
Owing to the infrared diffraction limit, the resolution of infrared remote sensing images is generally low, which makes precise detection and recognition of infrared targets difficult. To address this problem, an infrared target super-resolution detection algorithm based on deep learning is proposed. The algorithm comp
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610015 (2021)
Boundary Extraction of Scattered Point Cloud with Normal Estimation Based on Improved 3RDP Algorithm
Shuai Li, and Yuhong Du
An improved three-dimensional Douglas-Peucker (3RDP) algorithm is proposed to optimize the normal estimation method and solve the problem of incomplete and inaccurate point cloud contours extracted when using an angle threshold to assess the point cloud contour through the normal estimation algorithm. First, the tradit
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610016 (2021)
Underwater Image Enhancement Based on Multiscale Generative Adversarial Network
Sen Lin, and Shiben Liu
To address problems associated with capturing underwater images, i.e., blur details and color distortion caused by the absorption and scattering of light, an underwater image enhancement algorithm based on multiscale generative adversarial network is proposed. This algorithm uses an adversarial network as the basic fra
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1610017 (2021)
Palmprint Recognition Based on Multi-Scale Gabor Orientation Weber Local Descriptors
Mengwen Li, Huaiyu Liu, Xiangjun Gao, and Qianqian Meng
Weber local descriptor (WLD) is an effective image feature descriptor. However, the differential excitation and gradient orientation, which are two components of WLD, can not accurately describe the difference of local image blocks and the orientation of palm lines, so the performance of palmprint recognition based on
Laser & Optoelectronics Progress
  • Publication Date: Jul. 16, 2021
  • Vol. 58, Issue 16, 1610018 (2021)
Scattered Point Cloud Simplification Algorithm Based on Adaptive Neighborhood and Local Contribution Value
Rudan Zheng, Jinlong Li, Yu Zhang, and Xiaorong Gao
To address the problems associated with the large amounts of data and high redundancy of three-dimensional point cloud related to complex object surfaces obtained by a laser line structured light scanner, a point cloud simplification algorithm based on self-adaptive neighborhood and local contribution value is proposed
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1610019 (2021)
Anchor-Free Traffic Sign Recognition Algorithm Based on Attention Model
Jinghui Chu, Hao Huang, and Wei Lü
Aiming at the problem that traffic signs only occupy a very small area in the image and are difficult to accurately identify, an anchorless frame traffic sign recognition algorithm based on the attention model is proposed. The densely connected network DenseNet-121 is used as the backbone network and features are extra
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1610020 (2021)
Gender Classification of Iris Image Based on Residual Network
Fusheng Yu, Jiang Yu, Yuanfu Lu, Zhisheng Zhou, and Guangyuan Li
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1610022 (2021)
Lightweight Object Detection Network Based on Convolutional Neural Network
Yequn Cheng, Yan Wang, Yuying Fan, and Baoqing Li
Laser & Optoelectronics Progress
  • Publication Date: Aug. 21, 2021
  • Vol. 58, Issue 16, 1610023 (2021)
Instrumentation, Measurement and Metrology
Digital Image Correlation Method Based on Dense Feature Matching
Fangxi Tan, Shide Xiao, Shengyao Li, and Liangjun Zhou
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1612001 (2021)
Detection Method of Rail Fastener Fastening State Based on Line Structured Light
Le Wang, Qian Zhou, Yue Fang, Shengchun Wang, Guoqing Li, Hao Wang, Shengwei Ren, Peng Dai, and Fan Wang
Railway rail fastener system is prone to defects such as fastener missing, elastic strip fracture, elastic strip skew, and bolt loosening or over tightening. The traditional detection method based on two-dimensional intensity images can identify the first three diseases, but it is difficult to detect the bolt looseness
Laser & Optoelectronics Progress
  • Publication Date: Jul. 16, 2021
  • Vol. 58, Issue 16, 1612002 (2021)
Machine Vision
Multi-Task Learning Tracking Method Based on the Similarity of Dynamic Samples
Zaifeng Shi, Cheng Sun, Qingjie Cao, Zhe Wang, and Qiangqiang Fan
To solve the problem of noisy samples easily interfering with the online updating tracking method and resulting in a drift phenomenon, a method suitable for long-term tracking is proposed, and the proposed method is combined with a multi-task learning training mode and a loss detection step is added into the tracking p
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615002 (2021)
Visual Simultaneous Localization and Mapping Algorithm Based on Dynamic Target Detection
Xuesong Xu, and Yu Zeng
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615003 (2021)
Convolution-Based Sparse Tracking Algorithm
Qi Xu, Junbo Han, and Haixia Li
Traditional sparse representation algorithms attempt to build a robust appearance model to track targets according to the linear combination of sparse dictionaries. However, such algorithms ignore the hierarchical structure features of the tracking object; thus, handling complex tracking scenery is difficult. In this p
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615004 (2021)
Salient Detection of Multisource Image Illumination and Edge Fusion
Yuhao Ning, Yu Liu, and Shaochu Wang
To resolve the problems of the difficulties in detecting the salient object area under poor lighting conditions in an RGB image and the salient object boundary because of the infrared thermal radiation in a thermal infrared (T) image, a salient detection algorithm based on the complementary fusion of RGB and T image in
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615005 (2021)
Surface Corrosion Detection of Quayside Crane Based on Improved MobileNetV2SSDLite
Dong Han, Gang Tang, and Zhengkun Zhao
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615006 (2021)
Lightweight Real-Time Target Detection Model for Remote Sensing Images
Yuhuan Li, Jie Wang, Li Lu, and Ying Nie
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1615007 (2021)
Medical Optics and Biotechnology
Pretreatment and Combined Method Based on Near Infrared Spectroscopy
Zhushanying Zhang, Hanwen Gu, Kaiwen Xie, He Jiang, Qinlan Xie, and Jiming Sa
Aiming at the influence of stray light, noise, baseline drift and other factors in the spectral signal of complex samples on the quantitative analysis results, this paper proposes a pretreatment and combined method based on near-infrared spectroscopy. First, no pretreatment and single pretreatment on 2 selected dataset
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1617001 (2021)
Two-Stage Retinal Vessel Segmentation Based on Improved U-Net
Qianhong Cai, Yuhong Liu, and Rongfen Zhang
Aiming at the problems of current retinal image segmentation methods, such as blurring of fine vessels pixels and loss of details at the edge of thicker retinal vessels, we designed a two-stage segmentation method based on the combination of improved U-Net and Mini-U-Net network in this paper. Firstly, we added a small
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1617002 (2021)
Remote Sensing and Sensors
Individual Cow Recognition Based on Convolution Neural Network and Transfer Learning
Yongxin Xing, Biqiao Wu, Songping Wu, and Tianyi Wang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1628002 (2021)
Tilt Photography and Lidar Three-Dimensional Scanning for Route Spatial Relationship Detection
Xiaobin Li, Zuhong Liang, Yong Li, Qi Xiao, and You Zhou
This paper proposes a method based on ground-based laser three-dimensional (3D) scanning and drone tilt photography to obtain the route point cloud and the true 3D situation around the route, addressing the difficulty of quickly and comprehensively obtaining the spatial relationship of the route and accurately and quan
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1628003 (2021)
Research on Classification of Pest and Disease Tree Samples Based on Hyperspectral Lidar
Jing Lu, Jiuying Chen, Wei Li, Mei Zhou, Jian Hu, Wenxin Tian, and Chuanrong Li
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1628004 (2021)
Reviews
Research Progress in the Applications of Convolutional Neural Networks in Optical Information Processing
Jianglei Di, Ju Tang, Ji Wu, Kaiqiang Wang, Zhenbo Ren, Mengmeng Zhang, and Jianlin Zhao
Laser & Optoelectronics Progress
  • Publication Date: Aug. 12, 2021
  • Vol. 58, Issue 16, 1600001 (2021)
Research Advances of Spectral Unmixing Technology and Its Applications
Bin Yang, and Bin Wang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 22, 2021
  • Vol. 58, Issue 16, 1600004 (2021)
Application of Deep Learning Methods in Diagnosis of Lung Nodules
Bin Cao, Feng Yang, and Jingang Ma
Lung cancer is the malignant tumor with the highest mortality rate in the world. Its early diagnosis can remarkably improve the survival rate of lung cancer patients. Deep learning can extract the hidden layer features of medical images and can complete the classification and segmentation of medical images. The applica
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1600005 (2021)
Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
Hongyun Li, and Yunfa Fu
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1600006 (2021)
Spectroscopy
Clustering Algorithm Combined with LIF Technology for Wine Identification
Mengran Zhou, Cheng Wang, Feng Hu, Wenhao Lai, and Kai Bian
Laser & Optoelectronics Progress
  • Publication Date: Jul. 16, 2021
  • Vol. 58, Issue 16, 1630001 (2021)
Identification of Coffee-Bean Varieties Using Terahertz Detection Technology
Yande Liu, Maopeng Li, Jun Hu, Zhen Xu, and Huizhen Cui
Coffee is one of the top three beverages in the world, and it is crucial to strictly control the quality of coffee. Using three different varieties of coffee beans as the object, the terahertz time-domain spectroscopy combined with chemometrics is used herein to identify three different coffee beans quickly. Various pr
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1630002 (2021)
Application of Infrared Spectra to Identification of Enhanced Common Gemstones
Jie Luo, Yalan Xu, Huizhen Huang, and Jiajun Liu
Laser & Optoelectronics Progress
  • Publication Date: Aug. 18, 2021
  • Vol. 58, Issue 16, 1630003 (2021)
Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning
Jinkun Liu, Chunyu Li, Hang Lü, Weigang Kong, Wei Sun, and Gefei Zhang
In forensic scientific evidence identification, the classification and recognition of disposable masks is critical. Therefore, in this study, a classification and recognition method for disposable masks is proposed using Raman spectroscopy and machine learning. First, the Raman spectra of 37 types of disposable masks a
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1630004 (2021)
Regression Prediction of Soil Available Nitrogen Near-Infrared Spectroscopy Based on Boosting Algorithm
Yalu Han, Shaowen Li, Wenrui Zheng, Shengqun Shi, Xianzhi Zhu, and Xiu Jin
The prediction of available nitrogen content has attracted significant attention in soil nutrient diagnosis. The available nitrogen spectrum detection model prediction accuracy can be effectively improved using feature selection and regression prediction algorithms. This study selects 188 yellow-red loam samples in sou
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1630005 (2021)
Wire Rope Defect-Detection Method Based on Otsu Segmentation and Edge Detection
Ruochen Dai, Mingfu Zhao, Bin Tang, Liyong Dai, Taojiang Wu, and Shanghai Jiang
Laser & Optoelectronics Progress
  • Publication Date: Aug. 16, 2021
  • Vol. 58, Issue 16, 1630006 (2021)