Locating and Imaging through Scattering Medium in a Large Depth
Scattering medium brings great difficulties to locate and reconstruct objects especially when the objects are distributed in different positions. In this paper, a novel physics and learning-heuristic method is presented to locate and image the object through a strong scattering medium. A novel physi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/1/90 |
| _version_ | 1797543502453669888 |
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| author | Shuo Zhu Enlai Guo Qianying Cui Lianfa Bai Jing Han Dongliang Zheng |
| author_facet | Shuo Zhu Enlai Guo Qianying Cui Lianfa Bai Jing Han Dongliang Zheng |
| author_sort | Shuo Zhu |
| collection | DOAJ |
| description | Scattering medium brings great difficulties to locate and reconstruct objects especially when the objects are distributed in different positions. In this paper, a novel physics and learning-heuristic method is presented to locate and image the object through a strong scattering medium. A novel physics-informed framework, named DINet, is constructed to predict the depth and the image of the hidden object from the captured speckle pattern. With the phase-space constraint and the efficient network structure, the proposed method enables to locate the object with a depth mean error less than 0.05 mm, and image the object with an average peak signal-to-noise ratio (PSNR) above 24 dB, ranging from 350 mm to 1150 mm. The constructed DINet firstly solves the problem of quantitative locating and imaging via a single speckle pattern in a large depth. Comparing with the traditional methods, it paves the way to the practical applications requiring multi-physics through scattering media. |
| first_indexed | 2024-03-10T13:46:30Z |
| format | Article |
| id | doaj.art-6e5cbde1ebbc442396056587b6d487a8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:46:30Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6e5cbde1ebbc442396056587b6d487a82023-11-21T02:33:58ZengMDPI AGSensors1424-82202020-12-012119010.3390/s21010090Locating and Imaging through Scattering Medium in a Large DepthShuo Zhu0Enlai Guo1Qianying Cui2Lianfa Bai3Jing Han4Dongliang Zheng5Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaJiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaJiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaJiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaJiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaJiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, ChinaScattering medium brings great difficulties to locate and reconstruct objects especially when the objects are distributed in different positions. In this paper, a novel physics and learning-heuristic method is presented to locate and image the object through a strong scattering medium. A novel physics-informed framework, named DINet, is constructed to predict the depth and the image of the hidden object from the captured speckle pattern. With the phase-space constraint and the efficient network structure, the proposed method enables to locate the object with a depth mean error less than 0.05 mm, and image the object with an average peak signal-to-noise ratio (PSNR) above 24 dB, ranging from 350 mm to 1150 mm. The constructed DINet firstly solves the problem of quantitative locating and imaging via a single speckle pattern in a large depth. Comparing with the traditional methods, it paves the way to the practical applications requiring multi-physics through scattering media.https://www.mdpi.com/1424-8220/21/1/90inverse scatteringlocating and imaging through scattering mediumdeep learning |
| spellingShingle | Shuo Zhu Enlai Guo Qianying Cui Lianfa Bai Jing Han Dongliang Zheng Locating and Imaging through Scattering Medium in a Large Depth Sensors inverse scattering locating and imaging through scattering medium deep learning |
| title | Locating and Imaging through Scattering Medium in a Large Depth |
| title_full | Locating and Imaging through Scattering Medium in a Large Depth |
| title_fullStr | Locating and Imaging through Scattering Medium in a Large Depth |
| title_full_unstemmed | Locating and Imaging through Scattering Medium in a Large Depth |
| title_short | Locating and Imaging through Scattering Medium in a Large Depth |
| title_sort | locating and imaging through scattering medium in a large depth |
| topic | inverse scattering locating and imaging through scattering medium deep learning |
| url | https://www.mdpi.com/1424-8220/21/1/90 |
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