Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding.
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| Title: | Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding. |
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| Authors: | Ma, Mingming1 (AUTHOR) mamm@stu.xidian.edu.cn, Niu, Yi1,2 (AUTHOR) dhgao@xidian.edu.cn, Gao, Dahua1 (AUTHOR) fuli@mail.xidian.edu.cn, Li, Fu1 (AUTHOR) gmshi@xidian.edu.cn, Shi, Guangming1,2 (AUTHOR) |
| Source: | Remote Sensing. Jan2025, Vol. 17 Issue 2, p190. 21p. |
| Subjects: | Spatial light modulators, Digital technology, Micromirror devices, Imaging systems, Remote sensing, Optical remote sensing, Spectral imaging |
| Abstract: | Hyperspectral video acquisition requires a precise balance between spectral and temporal resolution, often achieved through compressive sampling using two-dimensional detectors and spectral reconstruction algorithms. However, the reliance on spatial light modulators for coding reduces optical efficiency, while complex recovery algorithms hinder real-time reconstruction. To address these challenges, we propose a digital-micromirror-device-based complementary dual-channel hyperspectral (DMD-CDH) video imaging system. This system employs a DMD for simultaneous light splitting and spatial encoding, enabling one channel to perform non-aliasing spectral sampling at lower frame rates while the other provides complementary high-rate sampling for panchromatic video. Featuring high optical throughput and efficient complementary sampling, the system ensures reliable hyperspectral video reconstruction and serves as a robust ground-based validation platform for remote sensing applications. Additionally, we introduce tailored optical error calibration and fixation techniques alongside a lightweight hyperspectral fusion network for reconstruction, achieving hyperspectral frame rates exceeding 30 fps. Compared to the existing models, this system simplifies the calibration process and provides a practical high-performance solution for real-time hyperspectral video imaging. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Hyperspectral video acquisition requires a precise balance between spectral and temporal resolution, often achieved through compressive sampling using two-dimensional detectors and spectral reconstruction algorithms. However, the reliance on spatial light modulators for coding reduces optical efficiency, while complex recovery algorithms hinder real-time reconstruction. To address these challenges, we propose a digital-micromirror-device-based complementary dual-channel hyperspectral (DMD-CDH) video imaging system. This system employs a DMD for simultaneous light splitting and spatial encoding, enabling one channel to perform non-aliasing spectral sampling at lower frame rates while the other provides complementary high-rate sampling for panchromatic video. Featuring high optical throughput and efficient complementary sampling, the system ensures reliable hyperspectral video reconstruction and serves as a robust ground-based validation platform for remote sensing applications. Additionally, we introduce tailored optical error calibration and fixation techniques alongside a lightweight hyperspectral fusion network for reconstruction, achieving hyperspectral frame rates exceeding 30 fps. Compared to the existing models, this system simplifies the calibration process and provides a practical high-performance solution for real-time hyperspectral video imaging. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs17020190 |
