Details

Autor(en) / Beteiligte

• Zhu, Shuo
• Guo, Enlai
• Cui, Qianying
• Bai, Lianfa
• Han, Jing
• Zheng, Dongliang

Titel

Locating and Imaging through Scattering Medium in a Large Depth

Ist Teil von

• Sensors (Basel, Switzerland), 2020-12, Vol.21 (1), p.90

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.