Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding.
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| Title: | Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding. |
|---|---|
| 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] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 182445250 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Mingming%22">Ma, Mingming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mamm@stu.xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Niu%2C+Yi%22">Niu, Yi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> dhgao@xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Dahua%22">Gao, Dahua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fuli@mail.xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Fu%22">Li, Fu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gmshi@xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Guangming%22">Shi, Guangming</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jan2025, Vol. 17 Issue 2, p190. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Spatial+light+modulators%22">Spatial light modulators</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Micromirror+devices%22">Micromirror devices</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+remote+sensing%22">Optical remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+imaging%22">Spectral imaging</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17020190 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 190 Subjects: – SubjectFull: Spatial light modulators Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Micromirror devices Type: general – SubjectFull: Imaging systems Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Optical remote sensing Type: general – SubjectFull: Spectral imaging Type: general Titles: – TitleFull: Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Mingming – PersonEntity: Name: NameFull: Niu, Yi – PersonEntity: Name: NameFull: Gao, Dahua – PersonEntity: Name: NameFull: Li, Fu – PersonEntity: Name: NameFull: Shi, Guangming IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 2 Titles: – TitleFull: Remote Sensing Type: main |
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