Dr. Jiaju Ying Profile

Dr. Jiaju Ying

at Shijiazhuang Mechanical Engineering College

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Author

Publications (18)

Proceedings Article | 17 February 2025 Paper

Vit-CEM: a joint vision transformer and constrained energy minimization method for camouflage target detection in hyperspectral images

Jiale Zhao, Jiaju Ying, Yudan Chen, Jianling Yin, Jie Liu, Qi Chen, Guanglong Wang, Bing Zhou

Proceedings Volume 13511, 1351133 (2025) https://doi.org/10.1117/12.3056872

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Camouflaged targets are usually visually integrated with the background they are in, and it is difficult to detect and recognize camouflaged targets in the visible wavelength band. However, existing camouflage means are difficult to achieve full-band camouflage, and camouflage recognition can be performed by extracting depth features of the target spectrum. Hyperspectral images contain hundreds of continuous and narrow spectral bands that provide detailed spectral features about the target. Hyperspectral image target detection aims to accurately identify and localize targets of interest from complex backgrounds and is one of the key tasks in hyperspectral image processing. Traditional hyperspectral image target detection methods mainly focus on spectral characterization, but they are generally only able to process shallow information about the target spectrum, which is easily affected by complex environments, noise, and other factors. In recent years, deep learning theory has been widely applied in many fields. Deep learning methods can automatically model the data, can extract the deep information of the target, and show good performance in dealing with nonlinear problems. The traditional constrained energy minimization (CEM) method uses a function that is a linear function with a closed-form solution. However, the use of a linear function may suffer from insufficient separation of target and background in complexenvironments. In order to improve the deficiencies of the CEM algorithm and further enhance the detection efficiency of camouflaged targets in complex environments, a camouflaged target detection method with joint vision transformer (Vit) and constrained energy minimization is proposed. The proposed method combines the minimized energy constraint method with the vision transformer network architecture, and extends the linear filter function in CEM to a nonlinear filter function by building a nonlinear target detector. The proposed method adapts the vision transformer network to make it a powerful nonlinear filter function, and the combination of the two enables a nonlinear CEM approach. Validation is performed by setting up artifacts in urban badlands with different levels of complexity, and the results show that the Vit-CEM method can successfully detect artifacts in both urban backgrounds with lots of buildings and lots of grass, with the best detection results. When using the area under the ROC curve (AUC) as the evaluation index of the detection effect, the AUC of the Vit-CEM method is as high as 99.99.

Proceedings Article | 30 April 2024 Paper

Research on air target recognition method based on deep learning

Jia-ju Ying, Zai-xing Ma, Jia-le Zhao, Lei Deng

Proceedings Volume 13156, 131560R (2024) https://doi.org/10.1117/12.3016424

KEYWORDS: Target recognition, Education and training, Detection and tracking algorithms, Deep learning, Data modeling, Object detection, Target detection, Missiles, Mathematical optimization, Image filtering

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Proceedings Article | 30 April 2024 Paper

Hyperspectral image target recognition based on YOLO model

Jia-ju Ying, Shi-qu Yin, Wei-yong Yang, Hui Liu, Xu Li

Proceedings Volume 13156, 131560Q (2024) https://doi.org/10.1117/12.3016421

KEYWORDS: Target recognition, Hyperspectral imaging, Education and training, Detection and tracking algorithms, Deep learning, Target detection, Image processing, Data modeling, Small targets, Hyperspectral target detection

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Proceedings Article | 18 March 2024 Paper

Localization and recognition of specific targets in land-based hyperspectral images based on combined spatial and spectral information

Jiale Zhao, Bing Zhou, Guanglong Wang, Jiaju Ying, Jie Liu, Qi Chen, Runze Zhao

Proceedings Volume 13104, 131040J (2024) https://doi.org/10.1117/12.3018386

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Hyperspectral image refers to a three-dimensional data cube image containing both spatial shape information and spectral reflectance information of ground objects. In recent years, with the rapid development of land-based platforms and near ground flight carriers, the production and application of land-based hyperspectral imaging equipment are gradually mature. Compared with hyperspectral images under remote sensing imaging conditions, hyperspectral images under land-based imaging conditions have higher spatial resolution and temporal resolution, saving a lot of time and use costs. The land-based hyperspectral imaging technology provides a solution to the problem of "similar shape is the same object" existing in the current two-dimensional space target detection. Therefore, a method of target location and recognition based on joint spatial and spectral information is proposed in this paper. This paper first introduces the basic principles of space target detection and spectral target detection, then establishes the spatial dataset of land-based hyperspectral images, and carries out experiments to verify the proposed methods. Use the ground imaging spectrometer to obtain the hyperspectral image data of the area to be measured, and then use the spatial target detection model to frame the specific target; The similarity test between the specific target set out in the frame and the prior spectral information shows that the matching degree between the pixel in the target area to be measured and the target spectrum is 88.48%, and the matching degree between the pixel in the non target area and the target spectrum is only 3.12%, thus successfully completing the target positioning and recognition task. The experiment shows that the method of specific target location and recognition based on spatial and spectral information can solve the problems of simple spectral dimension detection and simple spatial dimension detection at the same time, which is of great significance in specific target location, identification of true and false targets, and provides a new idea for specific target location and recognition in the future.

Proceedings Article | 4 April 2023 Paper

Spectral data expansion and classification of ground objects based on semi empirical kernel driven model

Jiale Zhao, Guanglong Wang, Bing Zhou, Jiaju Ying, Jie Liu

Proceedings Volume 12617, 1261706 (2023) https://doi.org/10.1117/12.2662897

KEYWORDS: Data modeling, Reflectivity, Bidirectional reflectance transmission function, Detection and tracking algorithms, Scattering, Sun, Spectroscopy, Reflection, Image classification, Sensors

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Proceedings Article | 23 January 2023 Paper

Super-resolution of large field of view infrared image based on residual convolutional auto-encoders

Yu-dan Chen, Jia-ju Ying, Fu-yu Huang, Shao-juan Mao

Proceedings Volume 12557, 125570C (2023) https://doi.org/10.1117/12.2645946

KEYWORDS: Convolution, Infrared radiation, Infrared imaging, Super resolution, Computer programming, Reconstruction algorithms, Image resolution, Image quality, Feature extraction, Thermal modeling

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Proceedings Article | 27 March 2022 Paper

Parallel recognition for military target in dual band using a joint transform correlator

Jie Liu, Yudan Chen, Jiaju Ying, Yinxin Yuan, Xingliang Lv

Proceedings Volume 12169, 121698G (2022) https://doi.org/10.1117/12.2625120

KEYWORDS: Target recognition, Joint transforms, Optical correlators, Image processing

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Proceedings Article | 17 April 2020 Paper

Effect on maximum distance critical value of laser rangefinders with atmospheric turbulence

Yu-dan Chen, Fu-yu Huang, Bing Zhou, Jia-ju Ying, Xian-mei Qian

Proceedings Volume 11455, 114552Q (2020) https://doi.org/10.1117/12.2563982

KEYWORDS: Atmospheric turbulence, Atmospheric optics, Turbulence, Atmospheric propagation, Refractive index, Sensors, Laser beam propagation, Target detection, Visibility, Signal attenuation

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Proceedings Article | 10 May 2019 Paper

Design and implementation of the infrared dynamic camouflage array

Jia-ju Ying, Yong-qiang He , Bing Zhou , Yu-dan Chen

Proceedings Volume 11068, 110680A (2019) https://doi.org/10.1117/12.2522943

KEYWORDS: Camouflage, Infrared radiation, Thermography, Metals, Semiconductors, Data processing, Temperature metrology, Temperature sensors, Infrared imaging, Control systems

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Proceedings Article | 10 May 2019 Paper

UAV laser charging technology based on beacon laser alignment

Jia-ju Ying, Yong-qiang He

Proceedings Volume 11068, 1106809 (2019) https://doi.org/10.1117/12.2522942

KEYWORDS: Unmanned aerial vehicles, Charge-coupled devices, Airborne laser technology, Laser applications, Laser processing, Laser optics, Servomechanisms, Laser systems engineering, Error analysis, CCD image sensors

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Proceedings Article | 12 March 2019 Paper

Design and realization of target tracking module of UAV laser charging system

Jia-ju Ying, Dong-sheng Wu, Jie Liu, Yu-dan Chen

Proceedings Volume 11023, 110233I (2019) https://doi.org/10.1117/12.2517430

KEYWORDS: Unmanned aerial vehicles, Image processing, Error analysis, Target detection, Image acquisition, Servomechanisms, Laser systems engineering, Image segmentation, Detection and tracking algorithms, Image filtering

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Proceedings Article | 12 March 2019 Paper

Dynamic infrared target camouflage effect evaluation

Jia-ju Ying, Dong-sheng Wu, Bing Zhou, Yu-dan Chen, Fu-yu Huang

Proceedings Volume 11023, 110230N (2019) https://doi.org/10.1117/12.2520323

KEYWORDS: Camouflage, Infrared radiation, Infrared imaging, Control systems, Infrared search and track, Target detection, Image analysis, Image information entropy, MATLAB, Surveillance

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Proceedings Article | 7 November 2018 Paper

Rotorcraft UAV laser charging target center location algorithm

Jia-ju Ying, Bing Zhou, Yu-dan Chen, Dong-sheng Wu

Proceedings Volume 10832, 108320P (2018) https://doi.org/10.1117/12.2506984

KEYWORDS: Unmanned aerial vehicles, Detection and tracking algorithms, Laser applications, Image processing, Target recognition, Servomechanisms, Hough transforms, Cameras, Laser processing, Image segmentation

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Proceedings Article | 20 February 2018 Paper

Binocular optical axis parallelism detection precision analysis based on Monte Carlo method

Jiaju Ying, Bingqi Liu

Proceedings Volume 10697, 1069719 (2018) https://doi.org/10.1117/12.2311934

KEYWORDS: Error analysis, Reticles, Monte Carlo methods, Charge-coupled devices, Image processing, Objectives, Calibration, Imaging systems, Optical alignment, Distortion

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Proceedings Article | 15 November 2017 Paper

Analysis on detection accuracy of binocular photoelectric instrument optical axis parallelism digital calibration instrument

Jia-ju Ying, Jian-ling Yin, Dong-sheng Wu, Jie Liu, Yu-dan Chen

Proceedings Volume 10605, 106053A (2017) https://doi.org/10.1117/12.2295575

KEYWORDS: Reticles, Calibration, Charge-coupled devices, Error analysis, Image processing, Infrared imaging, Prototyping, Thermography, Factor analysis, Optical calibration

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Proceedings Article | 24 October 2017 Paper

Design and implementation of multi-spectral multi-axis parallel calibration system

Jia-ju Ying, Jian-ling Yin, Jie Liu, Yu-dan Chen, Fu-yu Huang

Proceedings Volume 10462, 104620H (2017) https://doi.org/10.1117/12.2282348

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Proceedings Article | 19 October 2016 Paper

Design and realization of photoelectric instrument binocular optical axis parallelism calibration system

Jia-ju Ying, Yu-dan Chen, Jie Liu, Dong-sheng Wu, Jun Lu

Proceedings Volume 10155, 101550X (2016) https://doi.org/10.1117/12.2245097

KEYWORDS: Calibration, Optical calibration

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Proceedings Article | 15 October 2015 Paper

Calculation of impulse laser rangefinders′ utmost operating range with sensitivity in different weather

Yu-dan Chen, Bing Zhou, Jia-ju Ying, Shao-juan Mao, Xian-mei Qian

Proceedings Volume 9671, 96710F (2015) https://doi.org/10.1117/12.2197843

KEYWORDS: Laser countermeasures, Electro optics, Weapons, Automatic control, Signal attenuation, Turbulence, Laser systems engineering, Sensors, Target detection, Atmospheric optics

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Showing 5 of 18 publications

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