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Proceedings Paper

Range intensity coding under triangular and trapezoidal correlation algorithms for 3D super-resolution range gated imaging
Author(s): Xinwei Wang; Liang Sun; Pingshun Lei; Pengdao Ren; Songtao Fan; Zhou Yan
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Paper Abstract

Three-dimensional super-resolution range-gated imaging (3D SRGI) is a new technique for high-resolution 3D sensing. Up to now, 3D SRGI has been developed with two range-intensity correlation algorithms, including trapezoidal algorithm and triangular algorithm. To obtain high depth-to-resolution ratio of 3D imaging, coding method was developed for 3D SRGI based on the trapezoidal algorithm in 2011. In this paper, we propose the range-intensity coding based on the triangular algorithm and the hybrid range-intensity coding based on the triangular and trapezoidal algorithms. The theoretical models to predict the maximum coding bin number are developed for different coding methods. In the models, the maximum coding bin number is 7 for three coding gate images under the triangular algorithm, and the maximum is extended to 16 under the hybrid algorithm. The coding examples of 7 bins and 16 bins mentioned above are also given in this paper. The comparison among the three coding methods is performed by the depth-to-resolution ratio defined as the ratio between the 3D imaging depth and the product of the range resolution and raw gate image number, and the hybrid coding method has the highest depth-to-resolution ratio. Higher depth-to-resolution ratio means better 3D imaging capability of 3D SRGI.

Paper Details

Date Published: 21 October 2016
PDF: 9 pages
Proc. SPIE 9988, Electro-Optical Remote Sensing X, 99880U (21 October 2016); doi: 10.1117/12.2241638
Show Author Affiliations
Xinwei Wang, Institute of Semiconductors (China)
Liang Sun, Institute of Semiconductors (China)
Pingshun Lei, Institute of Semiconductors (China)
Pengdao Ren, Institute of Semiconductors (China)
Songtao Fan, Institute of Semiconductors (China)
Zhou Yan, Institute of Semiconductors (China)


Published in SPIE Proceedings Vol. 9988:
Electro-Optical Remote Sensing X
Gary Kamerman; Ove Steinvall, Editor(s)

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