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Sparse blind deconvolution for imaging through layered media
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OA
AI
DOI：10.1364/OPTICA.4.001514.png)
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摘要
En 中文
'When imaging through layered media such as walls, the contents and thickness of the wall layers are generally not known a priori. Furthermore, compensating for their effects can be computationally intensive, as this generally requires modelling the transmission and reflection of complex fields through layered media. We propose a blind deconvolution method that does not require knowledge of the wall layers by directly estimating a circularly symmetric Green's function that models the transmission through the wall layers, simultaneously addressing both problems. We experimentally demonstrate this technique by measuring the reflection through a multilayered structure of building materials at the K-band microwave frequencies, and using the blind deconvolution method to find the image of a reflective object behind the layers. (C) 2017 Optical Society of America
Keyword:
WALL
ALGORITHM
RADAR
SAR
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8.5
论文数:
2.4K
被引数:
2.1W
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A Novel Autofocusing Approach for Real-Time Through-Wall Imaging Under Unknown Wall Characteristics
PREAI
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