On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel
To overcome the limitations of traditional on-orbit modulation function transfer (MTF) measurement methods that are heavily dependent on natural features, scenery, artificial edges, and point source targets, this paper presents an on-orbit MTF measurement method of remote sensing imager based on the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/9/4362 |
| _version_ | 1797601657339510784 |
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| author | Yuanhang Wang Xing Zhong Zheng Qu Lei Li Sipeng Wu Chaoli Zeng |
| author_facet | Yuanhang Wang Xing Zhong Zheng Qu Lei Li Sipeng Wu Chaoli Zeng |
| author_sort | Yuanhang Wang |
| collection | DOAJ |
| description | To overcome the limitations of traditional on-orbit modulation function transfer (MTF) measurement methods that are heavily dependent on natural features, scenery, artificial edges, and point source targets, this paper presents an on-orbit MTF measurement method of remote sensing imager based on the refined image kernel (RIK) acquired directly from remote sensing images. First, the kernel is estimated from some remote sensing sub-images with rich texture details by using an iterative support detection (ISD) algorithm; then, it is refined by central pixel energy concentration (EC) to obtain the RIK. Secondly, the MTF curves are calculated by interpolating RIK and Fourier transform. Finally, the final MTF is the average value of MTFs at Nyquist frequency acquired by each RIK. To demonstrate the feasibility and validity of this method, the MTFs were compared to the result of the ISO12233 edge method with an error of no more than 7%. The relative error of the measured results does not exceed 5% for image signal-to-noise ratio (SNR) above 20dB. The results obtained from the on-orbit MTF measurement using remote sensing images of the Jilin-1 satellite have a maximum error of less than 2% compared with the ISO12233 edge method. These demonstrate that the method proposed in this paper supplies highly accurate and robust results and can successfully increase the efficiency of on-orbit MTF measurement, providing a reference for high-frequency monitoring of satellite on-orbit stability and their optical imaging quality. |
| first_indexed | 2024-03-11T04:06:43Z |
| format | Article |
| id | doaj.art-49252d7eb4714037a4d5cf4236fa516d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:43Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-49252d7eb4714037a4d5cf4236fa516d2023-11-17T23:43:21ZengMDPI AGSensors1424-82202023-04-01239436210.3390/s23094362On-Orbit Modulation Transfer Function Estimation Based on the Refined Image KernelYuanhang Wang0Xing Zhong1Zheng Qu2Lei Li3Sipeng Wu4Chaoli Zeng5Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChang Guang Satellite Technology Co., Ltd., Changchun 130102, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChang Guang Satellite Technology Co., Ltd., Changchun 130102, ChinaTo overcome the limitations of traditional on-orbit modulation function transfer (MTF) measurement methods that are heavily dependent on natural features, scenery, artificial edges, and point source targets, this paper presents an on-orbit MTF measurement method of remote sensing imager based on the refined image kernel (RIK) acquired directly from remote sensing images. First, the kernel is estimated from some remote sensing sub-images with rich texture details by using an iterative support detection (ISD) algorithm; then, it is refined by central pixel energy concentration (EC) to obtain the RIK. Secondly, the MTF curves are calculated by interpolating RIK and Fourier transform. Finally, the final MTF is the average value of MTFs at Nyquist frequency acquired by each RIK. To demonstrate the feasibility and validity of this method, the MTFs were compared to the result of the ISO12233 edge method with an error of no more than 7%. The relative error of the measured results does not exceed 5% for image signal-to-noise ratio (SNR) above 20dB. The results obtained from the on-orbit MTF measurement using remote sensing images of the Jilin-1 satellite have a maximum error of less than 2% compared with the ISO12233 edge method. These demonstrate that the method proposed in this paper supplies highly accurate and robust results and can successfully increase the efficiency of on-orbit MTF measurement, providing a reference for high-frequency monitoring of satellite on-orbit stability and their optical imaging quality.https://www.mdpi.com/1424-8220/23/9/4362remote sensingMTFrefined image kernelenergy concentrationimage quality assessment |
| spellingShingle | Yuanhang Wang Xing Zhong Zheng Qu Lei Li Sipeng Wu Chaoli Zeng On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel Sensors remote sensing MTF refined image kernel energy concentration image quality assessment |
| title | On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel |
| title_full | On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel |
| title_fullStr | On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel |
| title_full_unstemmed | On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel |
| title_short | On-Orbit Modulation Transfer Function Estimation Based on the Refined Image Kernel |
| title_sort | on orbit modulation transfer function estimation based on the refined image kernel |
| topic | remote sensing MTF refined image kernel energy concentration image quality assessment |
| url | https://www.mdpi.com/1424-8220/23/9/4362 |
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