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检索条件"机构=XI‘An Key Laboratory of Spacecraft Optical Imaging and Measurement Technology"

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A Detection Method for Typical Component of Space Aircraft Based on YOLOv3 Algorithm 3

A Detection Method for Typical Component of Space Aircraft B...

引用

3rd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： He, Bian Jianzhong, Cao Cheng, Li Junpeng, Dong Zhongling, Ruan Chao, Mei Xi'an Institute of Optics and Precision Mechanics of Cas Xi'an China University of Chinese Academy of Sciences Beijing China Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Xi'an China

ISBN: (纸本)9798350380989

A solar panel recognition method based on YOLOv3 deep learning algorithm is proposed to address issues such as inaccurate recognition of traditional algorithms in space solar panel detection. First, this paper scales the dataset images to 416 × 416, then uses Labelme to annotate the data and transform the bounding box position information, and finally uses the YOLOv3 algorithm framework for model training. The results show that the recall, F1 score and accuracy of YOLOv3 algorithm are all above 80%. The YOLOv3 deep learning algorithm meets the requirements for real-time detection of solar panels in terms of accuracy. © 2024 IEEE.

关键词： Deep learning object detection Space debris YOLOv3

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An Improved Gradient-Based Image Sharpness Evaluation Method for Variable Focusing Window 3

An Improved Gradient-Based Image Sharpness Evaluation Method...

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3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control technology, CEI 2023

作者： Ren, Zeyue Wang, Huawei Kong, Fanzi Liu, Qing Yang, Yongqing Xi'an Institute of Optics and Precision Mechanics of Cas Xi'an China University of Chinese Academy of Sciences Beijing China Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Xi'an China

ISBN: (纸本)9798350372052

To address the focusing challenges of varying scales at different time points of moving target images in space, we propose an improved gradient-based image sharpness evaluation method for variable focusing window. The method obtains the target focusing window adaptively and computes the sharpness evaluation value by convolving the image within the focusing window with a multi-directional gradient operator weighted factor. Experiments show that the method exhibits strong sensitivity and anti-interference capabilities, contributing to the improved performance of the space imaging autofocus system. © 2023 IEEE.

关键词： Focusing

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Satellite Pose measurement Using an Improving SIFT Algorithm 4

Satellite Pose Measurement Using an Improving SIFT Algorithm

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4th International Conference on Computer Vision and Data Mining, ICCVDM 2023

作者： Zhang, Renhao Zhou, Zuofeng Xi'an Institute of Optics and Precision Mechanics of UCAS Chinese Academy of Sciences Shaanxi Xi'an710119 China University of Chinese Academy of Sciences Beijing100049 China Xi’an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shaanxi Xi'an710119 China

ISBN: (纸本)9781510674448

Due to the strong reflective properties of the spacecraft surface coatings, there are significant challenges in processing images from outer space. Furthermore, the volume of data for image feature processing and matching is immense, and existing algorithms are insufficient for aerospace system applications. Therefore, this paper proposes a three-dimensional pose measurement algorithm based on binocular vision. The binocular vision-based three-dimensional pose measurement system consists of four main components: camera calibration, camera rectification, stereo matching, and pose determination. Traditional image processing algorithms are employed for satellite image processing. Camera calibration is performed using M software, and the calibration results are further optimized. Due to real-time requirements, an improved SIFT algorithm is used to detect local features in the images, extract feature points, and perform feature point matching under epipolar constraints. Experimental results demonstrate that this algorithm can achieve accurate and fast three-dimensional pose measurement. © 2024 SPIE.

关键词： Binocular vision

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Region-aware Half Wavelet Attention Network for Mixed Exposure Correction 17

Region-aware Half Wavelet Attention Network for Mixed Exposu...

引用

17th IEEE International Conference on Signal Processing, ICSP 2024

作者： xia, Jingwen Zhang, Chunjie Zhang, Gaopeng Liu, Chuankai Beijing Jiaotong University School of Computer Science and Technology Beijing China Chinese Academy of Sciences Key Laboratory of Spacecraft Optical Imaging and Measurement Technology of Xi'an Xi'an Institute of Optics and Precision Mechanics Xi'an China Beijing Aerospace Control Center Beijing China

ISBN: (纸本)9798350387384

Images captured under different exposure conditions may contain both over- and under-exposures. Existing methods mainly focus on addressing over- or under-exposure problem in images. In this paper, we introduce an effective Region-aware Half Wavelet Attention Exposure Correction Network (RHECNet). Specifically, we introduce a region-based feature extraction module that effectively converts the region features in the mixed exposure scene into feature space, which is invariant to exposure. Besides, as incorrect exposure inevitably reduces structure information, we introduce an attention restoration block based on wavelet domain features. It combines exposure-invariant features with those extracted from the wavelet domain to restore structural information. RHECNet has competitive performance results on two image exposure Correction datasets in terms of quantitative metrics and visual quality. © 2024 IEEE.

关键词： Wavelet analysis

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Real-time Target Detection and Velocity measurement for spacecraft Docking Based on Improved Arc-support LSs Ellipse Detection 3

Real-time Target Detection and Velocity Measurement for Spac...

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3rd International Conference on Optics and Machine Vision, ICOMV 2024

作者： Wu, xiongzhi Wu, Jiaxin Zhang, Haifeng Duan, Yingni Meng, Han Xi’an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi’an710119 China University of Chinese Academy of Sciences Beijing100049 China Xi’an University Department of Robotics Engineering Xi’an710065 China Xi’an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Xi’an710119 China

ISBN: (纸本)9781510680319

With the development of China's space station, rendezvous and docking between spacecraft and the station have become more frequent. Smooth and safe docking speed is important for the effectiveness of docking missions. In this context, vision-based docking speed measurement comes into view. Visual measurement is a commonly used method. It is a non-contact measurement method, which is realized by optical measurement principles and equipment to measure the structure under test. We propose an improved ellipse detection method for arc-support *** method first forms an arc support group, verifies this prior knowledge on the basis of the arc support group according to the feature that the ellipse cross target is always in the center of the image, and sets a prior box to narrow the detection range of the ellipse. and then generates an initial ellipse set using two complementary methods, and after selecting the significant ellipse candidates and refining them as the detection points, achieves an efficient and high-quality ellipse detection. The docking speed calculation formula was established based on the physical imaging model. It is validated on our own docking simulation video and the real public Shenzhou XVI and Shenzhou XVII spacecraft docking videos, with a recall of 0.9353 and an FPS of 8.513 on the simulation video, which is more efficient and high-quality than other traditional ellipse detection methods, and the speed measurement errors are 5.8% and 3.6% on the two real public videos, which improves the spacecraft docking speed measurement robustness. © 2024 SPIE.

关键词： Space stations

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measurement method of optical axis parallelism of continuous zoom camera based on skeleton thinning algorithm

Measurement method of optical axis parallelism of continuous...

引用

2023 Applied Optics and Photonics China: optical Sensing, imaging, and Display technology and Applications;and Biomedical Optics, AOPC 2023

作者： Kong, Fanzi Wang, Huawei Fang, Yao Kang, Chanchan Zhou, Feng Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Shaanxi Xi'an710119 China University of Chinese Academy of Sciences Beijing100049 China Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shaanxi Xi'an China

ISBN: (纸本)9781510672321

optical axis parallelism is critical to high-quality clear imaging and stable field switching during zooming. In this paper, we propose a fast measurement method of optical axis parallelism based on collimator and image processing technology. Our method improves the measurement accuracy by introducing skeleton thinning algorithm. The method realizes the automatic measurement of the optical axis parallelism during zooming and reduces subjective errors. The experimental results show that the measurement efficiency and accuracy have been improved, confirming the practical value of the method. © 2023 SPIE. All rights reserved.

关键词： Image processing

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Detail enhancement for infrared image based on Iterative least squares and difference of Gaussian filter 3

Detail enhancement for infrared image based on Iterative lea...

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3rd International Computing imaging Conference, CITA 2023

作者： Chen, Zhiqiang Zhao, Zehao Guan, Lei Zhou, Feng Chen, Yaohong Xi’an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Shaanxi Xi’an710119 China University of Chinese Academy of Sciences Beijing100049 China Xi’an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shaanxi Xi’an710119 China

ISBN: (纸本)9781510671409

Effective visualization of infrared images with low contrast and low signal-to-noise ratio is one of the key technologies for high-performance infrared imaging systems. The conventional decomposition-based algorithms have advantages in image details enhancement, but still suffer from high computational cost, unbalanced noise suppression and detail information. In this paper, we decompose the base and detail components of the image by the iterative least squares and the Difference of Gaussian filter, and further enhance the base layer and the detail layer via plateau equalization and gradient mask, respectively. We then fusion the enhancement result and re-project to 8-bit dynamic range. Experimental results shown that the proposed method achieves a good balance between detail enhancement and computational cost, with a high-performance in different scenes. © 2023 SPIE.

关键词： Image enhancement

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Research on the algorithm of 3D pose solving based on binocular vision 8

Research on the algorithm of 3D pose solving based on binocu...

引用

8th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2023

作者： Wu, Jiaxin Ai, Han Zhang, Hai Feng Cao, Jianzhong Xi'an Institute of Optics and Precision Mechanics of UCAS University of Chinese Academy of Sciences Shanxi Xi'an710119 China University of Chinese Academy of Sciences Beijing100049 China XI An Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shanxi Xi'an710119 China

ISBN: (纸本)9781510666290

Due to the complex lighting environment in space, the surface coating material of the spacecraft is uneven and has strong reflection characteristics, resulting in the complex problem of extremely bright or extremely dark in the image under sunlight, and it is difficult to extract stable features. In addition, for the actual measurement system, the amount of data for image feature processing and image matching is large, which makes the speed of the key algorithm unable to meet the real-time nature of the application. Therefore, based on the above problems, this paper proposes a set of three-dimensional measurement algorithms based on binocular vision, mainly has four parts, camera calibration, Image correction, stereo matching and pose solving. We use traditional image processing algorithm for satellite image, using M software for camera calibration, and the calibration results are further optimized and corrected, due to the requirements of real-time, based on ORB algorithm, the use of Fast algorithm for feature point extraction and descriptor calculation by Brief, and the polar constraint is fused for feature matching. Improve the robustness and real-time performance of the algorithm, and perform pose solving by rotating angle. Experiments show that the algorithm can quickly and accurately achieve three-dimensional pose measurement. © 2023 SPIE. All rights reserved.

关键词： Binocular vision

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Real-time image processing of space camera based on FPGA

Real-time image processing of space camera based on FPGA

引用

2023 International Conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Duan, Jia xin Zhang, Hai Feng Zhou, Shun Huang, Ji Jiang Xi'an Technological University School of Opto-electronical Engineering Shanxi Xi'an710119 China Xi'an Institute of Optics and Precision Mechanics of UCAS University of Chinese Academy of Sciences Shanxi Xi'an710119 China XI'An Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shanxi Xi'an710119 China

ISBN: (纸本)9781510666160

According to the characteristics of space camera subject to working environment and task requirements, the automatic exposure and automatic white balance are analyzed theoretically. Gaussian weight is used to correlate the target position and gray value of image, and the relationship between variable step size adjustment, balance accuracy and speed of automatic exposure is optimized. Automatic white balance performs color temperature estimation in RGB space, enabling accurate image color restoration under different illumination. The optimized design of hardware implementation according to the FPGA characteristics. Through the simulation software analysis and the effect of the hardware system display pictures, it is shown that the FPGA hardware system can run high-definition real-time, fast speed, low power consumption and strong practicability. This hardware system has been used in image processing of space cameras. © 2023 SPIE.

关键词： Field programmable gate arrays (FPGA)

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Study on Acoustic Characteristics of Environmental Noise in Low Pressure Enclosed Spaces 6

Study on Acoustic Characteristics of Environmental Noise in ...

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2023 IEEE 6th International Conference on Information Systems and Computer Aided Education, ICISCAE 2023

作者： Li, Biao Zhang, Haifeng Qiao, Tiezhu Li, Jingxia Fang, Yao Xi'an Institute of Optics and Precision Mechanics of Cas Shaanxi Xi'an710119 China Xi'an Institute of Optics and Precision Mechanics of Cas Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology Shaanxi Xi'an710119 China Taiyuan University of Technology Key Laboratory of New Sensors and Intelligent Control Ministry of Education Taiyuan030600 China Taiyuan University of Technology Taiyuan030600 China

ISBN: (纸本)9798350313444

In order to study the impact of low pressure environment on acoustic measurement, different pressure environments were simulated in a low pressure experimental chamber to conduct measurement research on environmental noise under low pressure environment. The measurement equipment used DS-2MC1001-W microphone, and the sound source output was environmental noise. The pressure inside the test chamber was reduced from 101kPa to 1kPa, and a set of data was measured every 10kpa. The acoustic characteristics of the measured data were recorded, including pitch frequency, sound pressure level Analyze the acoustic data of environmental noise at different pressure levels from the perspective of A-weighted sound pressure level and 1/3 octave A-weighted sound pressure level, and explore the attenuation of environmental noise at different pressure levels and the main frequency bands of noise. The research results indicate that as the air pressure decreases, all of the above parameters decay. When the air pressure drops to 1kPa, the sound pressure level decreases by 8.31dB, and the A-weighted sound level decreases by 8.41dBA. Among them, the sound source noise is mainly in the frequency range of 0-4000Hz. © 2023 IEEE.

关键词： 1/3rd octave Low atmospheric pressure Pitch frequency Sound pressure level

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