Research on GISC Image Reconstruction Algorithm Based on Area Array CCD Image Sensor

Ghost imaging sparsity constraints (GISC) spectral camera can acquire both spatial and spectral information of surface features, and has significant application prospects in the field of satellite remote sensing. This article uses a planar CCD image sensor for photoelectric detection, and then recon...

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Bibliographic Details
Published in2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM) pp. 206 - 209
Main Authors Shen, Ziyi, Li, Meixuan, Yang, Zhipeng, Wang, Honglin, Fan, Xiaofei, Yang, Feng
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.11.2023
Subjects
CCD image sensors
GISC
Multispectral images
Reconstruction algorithm
Scalability
Signal processing
Signal processing algorithms
Single exposure
Speckle
Surface reconstruction
Transmission line matrix methods
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DOI10.1109/ISPCEM60569.2023.00044

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Summary:Ghost imaging sparsity constraints (GISC) spectral camera can acquire both spatial and spectral information of surface features, and has significant application prospects in the field of satellite remote sensing. This article uses a planar CCD image sensor for photoelectric detection, and then reconstructs multispectral images through image reconstruction algorithms. The article describes the theoretical foundation, related technologies, and image reconstruction algorithms of GISC. Reconstruct the three-dimensional spectral image of the target through single exposure detection of the speckle field and pre calibrated measurement matrix. The research results have advantages such as high energy utilization rate, fast information acquisition efficiency, and the ability to obtain three-dimensional data information with a single exposure.
DOI:10.1109/ISPCEM60569.2023.00044