Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology
Spatial resolution plays a crucial role in the process of polarization remote sensing method for Earth observation, and the problem of resolution improvement has always been an important research direction in the field of remote sensing. To address the spatial resolution loss and information errors...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222003430 |
| _version_ | 1797950785795915776 |
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| author | Dong Yao Hangang Liang Juan Campos Lei Yan Chunhui Yan Chunming Jiang Songnian Tan Chao Liang Hanyu Wang Lingtong Meng Yanping Cheng |
| author_facet | Dong Yao Hangang Liang Juan Campos Lei Yan Chunhui Yan Chunming Jiang Songnian Tan Chao Liang Hanyu Wang Lingtong Meng Yanping Cheng |
| author_sort | Dong Yao |
| collection | DOAJ |
| description | Spatial resolution plays a crucial role in the process of polarization remote sensing method for Earth observation, and the problem of resolution improvement has always been an important research direction in the field of remote sensing. To address the spatial resolution loss and information errors in division-of-focal-plane (DoFP) polarization remote sensing systems, this study proposes a new polarization super-resolution (PSR) remote sensor and a data recovery method. We calibrate the relative displacement between image plane and detector in the laboratory, and verify the effectiveness of this method by actual external imaging. The experimental results demonstrate that the system can eliminate the spatial resolution loss caused by the DoFP technology, and the real image resolution is doubled in both the horizontal and vertical directions. We also verify the effectiveness of this new instrument and data recovery method. By comparing the results of this method with the existing algorithms, it is found that it has a great improvement under the same evaluation parameters, and the texture features of the target scene were significantly enhanced. Moreover, the system can simultaneously perceive multidimensional information, such as high-resolution intensity images and pixel-level polarization information of the target scene, and therefore, can potentially be applied in remote sensing systems. |
| first_indexed | 2024-04-10T22:20:40Z |
| format | Article |
| id | doaj.art-344c4b0b9e1c49dca5e4703c31d89518 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-10T22:20:40Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-344c4b0b9e1c49dca5e4703c31d895182023-01-18T04:30:06ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-02-01116103155Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technologyDong Yao0Hangang Liang1Juan Campos2Lei Yan3Chunhui Yan4Chunming Jiang5Songnian Tan6Chao Liang7Hanyu Wang8Lingtong Meng9Yanping Cheng10Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, China; Corresponding author at: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaDepartament de Física, Universitat Autònoma de Barcelona, Bellaterra, 08193, SpainSchool of Earth and Space Sciences, Peking University, Beijing, 100871, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun, 130033, China; Key laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun, 130033, ChinaSpatial resolution plays a crucial role in the process of polarization remote sensing method for Earth observation, and the problem of resolution improvement has always been an important research direction in the field of remote sensing. To address the spatial resolution loss and information errors in division-of-focal-plane (DoFP) polarization remote sensing systems, this study proposes a new polarization super-resolution (PSR) remote sensor and a data recovery method. We calibrate the relative displacement between image plane and detector in the laboratory, and verify the effectiveness of this method by actual external imaging. The experimental results demonstrate that the system can eliminate the spatial resolution loss caused by the DoFP technology, and the real image resolution is doubled in both the horizontal and vertical directions. We also verify the effectiveness of this new instrument and data recovery method. By comparing the results of this method with the existing algorithms, it is found that it has a great improvement under the same evaluation parameters, and the texture features of the target scene were significantly enhanced. Moreover, the system can simultaneously perceive multidimensional information, such as high-resolution intensity images and pixel-level polarization information of the target scene, and therefore, can potentially be applied in remote sensing systems.http://www.sciencedirect.com/science/article/pii/S1569843222003430Polarization remote sensingSuper-resolutionCalibration methodEffect evaluationDivision-of-focal-plane |
| spellingShingle | Dong Yao Hangang Liang Juan Campos Lei Yan Chunhui Yan Chunming Jiang Songnian Tan Chao Liang Hanyu Wang Lingtong Meng Yanping Cheng Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology International Journal of Applied Earth Observations and Geoinformation Polarization remote sensing Super-resolution Calibration method Effect evaluation Division-of-focal-plane |
| title | Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology |
| title_full | Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology |
| title_fullStr | Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology |
| title_full_unstemmed | Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology |
| title_short | Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology |
| title_sort | calculation and restoration of lost spatial information in division of focal plane polarization remote sensing using polarization super resolution technology |
| topic | Polarization remote sensing Super-resolution Calibration method Effect evaluation Division-of-focal-plane |
| url | http://www.sciencedirect.com/science/article/pii/S1569843222003430 |
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