Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer
Image mapping spectrometer (IMS) is a hyperspectral imager that can obtain the spatial and spectral information of an object simultaneously in real time. The cross talk on the pupil array plane results in degradation of the final image contrast, the reduction of the detector dynamic range, and the a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8356003/ |
| _version_ | 1819170174214864896 |
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| author | Xiaoming Ding Yan Yuan Lijuan Su Wanyue Wang Zhenyi Ai Anqi Liu |
| author_facet | Xiaoming Ding Yan Yuan Lijuan Su Wanyue Wang Zhenyi Ai Anqi Liu |
| author_sort | Xiaoming Ding |
| collection | DOAJ |
| description | Image mapping spectrometer (IMS) is a hyperspectral imager that can obtain the spatial and spectral information of an object simultaneously in real time. The cross talk on the pupil array plane results in degradation of the final image contrast, the reduction of the detector dynamic range, and the aliasing of the spatial-spectral information. This paper presents a novel approach to designing an image mapper that can be used in IMS to reduce cross talk between adjacent sub-pupils. To verify the proposed method, an imaging model based on scalar diffraction theory is derived and computer simulations are conducted to evaluate the improvement that is realized compared with the original method. In addition, image mappers designed by both the proposed approach and the original approach are fabricated. The simulation and experimental results show that there is a reduction of about 30%-70% in the cross talk obtained using the novel image mapper, which proves that the proposed approach is effective and has advantages in improving the data quality of the IMS. |
| first_indexed | 2024-12-22T19:31:12Z |
| format | Article |
| id | doaj.art-3856f525fd1a46fcb44d3374d2995778 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T19:31:12Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3856f525fd1a46fcb44d3374d29957782022-12-21T18:15:06ZengIEEEIEEE Access2169-35362018-01-016293442935210.1109/ACCESS.2018.28344858356003Modeling and Optimization of Image Mapper for Snapshot Image Mapping SpectrometerXiaoming Ding0https://orcid.org/0000-0003-4257-7740Yan Yuan1Lijuan Su2Wanyue Wang3Zhenyi Ai4Anqi Liu5Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaKey Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaKey Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaKey Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaKey Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaKey Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, ChinaImage mapping spectrometer (IMS) is a hyperspectral imager that can obtain the spatial and spectral information of an object simultaneously in real time. The cross talk on the pupil array plane results in degradation of the final image contrast, the reduction of the detector dynamic range, and the aliasing of the spatial-spectral information. This paper presents a novel approach to designing an image mapper that can be used in IMS to reduce cross talk between adjacent sub-pupils. To verify the proposed method, an imaging model based on scalar diffraction theory is derived and computer simulations are conducted to evaluate the improvement that is realized compared with the original method. In addition, image mappers designed by both the proposed approach and the original approach are fabricated. The simulation and experimental results show that there is a reduction of about 30%-70% in the cross talk obtained using the novel image mapper, which proves that the proposed approach is effective and has advantages in improving the data quality of the IMS.https://ieeexplore.ieee.org/document/8356003/Hyperspectral imagingmodelingoptimizationspectroscopy |
| spellingShingle | Xiaoming Ding Yan Yuan Lijuan Su Wanyue Wang Zhenyi Ai Anqi Liu Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer IEEE Access Hyperspectral imaging modeling optimization spectroscopy |
| title | Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer |
| title_full | Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer |
| title_fullStr | Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer |
| title_full_unstemmed | Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer |
| title_short | Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer |
| title_sort | modeling and optimization of image mapper for snapshot image mapping spectrometer |
| topic | Hyperspectral imaging modeling optimization spectroscopy |
| url | https://ieeexplore.ieee.org/document/8356003/ |
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