Mr. Xiaotong Zhang Profile

Xiaotong Zhang

at Shanghai Aerospace Control Technology Institute

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Publications (2)

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Proceedings Article | 15 February 2022 Paper

Research on high-precision infrared spectral modulation and calibration technology based on reflective encoding mask

Dapeng Li, Xiaotong Zhang, Sha Liu, Jianrong Wu, Huan Chen

Proceedings Volume 12166, 121667K (2022) https://doi.org/10.1117/12.2617992

KEYWORDS: Calibration, Spectral calibration, Speckle, Modulation, Infrared radiation, Computer programming, Reflectivity, Imaging spectroscopy, Infrared imaging, Spectral imaging cameras

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With the development of computational imaging technology, computational spectral imaging technology based on coding masks has attracted the attention of researchers due to its advantages in obtaining multi-dimensional information. However, the current research on computational spectral imaging technology in the infrared band is relatively scarce. In the research of this paper, in order to solve the problem that the signal-to-noise ratio of the spectral calibration in the infrared spectral calibration of the coding mask is too low, an innovative spectral calibration scheme based on the reflective coding mase is proposed. Firstly, according to the infrared band and spectral resolution index, the mask surface model coding technology is used to design the surface of the mask, according to the above scheme, the reflective mask can be processed, then the spectral modulation of the specific speckle field distribution can be finished base on the corresponding infrared point light source generation module; secondly after completing the spectral calibration of the key points on the encoding mask surface ,the spectral calibration signal reconstruction of the remaining pixels of the encoding mask can be finished base on the improved bilinear interpolation algorithm, this work can greatly save the spectrum calibration time; finally, the effect of the speckle field algorithm base on compressed sensing is used to verify the effect of the spectrum calibration structure. The results show that, compared with the traditional spectrum calibration technology, the high-precision infrared spectrum modulation and calibration technology based on the reflective coding mask used in this paper can greatly improve the signal-to-noise ratio of the spectrum calibration signal and save the time required for the spectrum calibration.

Proceedings Article | 5 November 2020 Paper

Research on real time tracking algorithm of multispectral mosaic image based on the fast DSST algorithm

Yanming Shao, Dapeng Li, Xiaotong Zhang, Qianjin Lin, Huabao Long

Proceedings Volume 11567, 115673W (2020) https://doi.org/10.1117/12.2580259

KEYWORDS: Detection and tracking algorithms, Multispectral imaging, Target detection, Image filtering, Target recognition, Dimension reduction, Hyperspectral target detection, Cameras

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In order to solve the problem of traditional target recognition and tracking algorithms of the multispectral image such as high computation complexity, poor real time performance and low stability under complex scene and great variation of target appearance, a new mosaic image tracking algorithm based on dimension reduction of HOG feature data and multi-scale correlation filter is proposed in this paper. Firstly, in order to reduce the calculation complexity as well as to enhance the detection rate of small target, the 2D multispectral mosaic image data instead of the traditional 3D multispectral image data cubes is used, Then the histogram of oriented gradient (HOG) feature is extracted from the mosaic image data, and the singular value decomposition (SVD) algorithm with improved threshold selection method is adopted to reduce the dimension of the HOG feature matrix. Compared to the method which extracts HOG feature after dimension reduction, the proposed method takes advantage of high recognition precision, simple operation and high real-time performance. Finally, the target tracking is realized based on the dimension-reduced HOG feature with the fast discriminative scale space tracker (fDSST) algorithm which combines the scale filter and the position filter. A multispectral image dataset for target tracking was established, including different target occlusion, motion blur, variation of target scale and target appearance. Target tracking results on the dataset show the proposed algorithm can realize good tracking continuity and stability even if there exist different ground objects, variation in the appearance of the target shape, or target reappearance after occlusion.

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