Snapshot spectral imaging based on SPAD and CS for space targets

Lisha Zhang; Jingjing Ge; Xiaoming Zhong; Fang Xue; Yanli Liu

doi:10.1117/12.2683143

19 October 2023 Snapshot spectral imaging based on SPAD and CS for space targets

Lisha Zhang, Jingjing Ge, Xiaoming Zhong, Fang Xue, Yanli Liu

Proceedings Volume 12729, Sensors, Systems, and Next-Generation Satellites XXVII; 1272915 (2023) https://doi.org/10.1117/12.2683143
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Cataloguing and recognition of space targets is becoming one of the important research contents of Space Situational Awareness (SSA). As is known that spectral feature is one important method for spatial targets classification and recognition. Based on the facts that objects have unique spectral distributions, characteristic spectra of objects can be used to classify and recognize objects. In order to acquire data cube of targets in both spatial and spectral dimensions by a snapshot, a hyper-spectral computing imaging technology with double channels was proposed in this paper. The imager can quickly acquire and reconstruct spectral data of space targets and then confirm the type of targets by comparing with prior spectral databases of different space targets. Sensitivity of the imager affects the longest detection distance and the spectral resolution of targets. In order to enhance its sensitivity, SPAD array with detection sensitivity to single-photon level can greatly enhance systems' performances.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lisha Zhang, Jingjing Ge, Xiaoming Zhong, Fang Xue, and Yanli Liu "Snapshot spectral imaging based on SPAD and CS for space targets", Proc. SPIE 12729, Sensors, Systems, and Next-Generation Satellites XXVII, 1272915 (19 October 2023); https://doi.org/10.1117/12.2683143

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