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Proceedings Paper

Large field-of-view range-gated laser imaging based on image fusion
Author(s): Pengdao Ren; Xinwei Wang; Liang Sun; Ruirong You; Pingshun Lei; Yan Zhou
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Paper Abstract

Laser range-gated imaging has great potentials in remote night surveillance with far detection distance and high resolution, even if under bad weather conditions such as fog, snow and rain. However, the field of view (FOV) is smaller than large objects like buildings, towers and mountains, thus only parts of targets are observed in one single frame, so that it is difficult for targets identification. Apparently, large FOV is beneficial to solve the problem, but the detection range is not available due to low illumination density in a large field of illumination matching with the FOV. Therefore, a large field-of-view range-gated laser imaging is proposed based on image fusion in this paper. Especially an image fusion algorithm has been developed for low contrast images. First of all, an infrared laser range-gated system is established to acquire gate images with small FOV for three different scenarios at night. Then the proposed image fusion algorithm is used for generating panoramas for the three groups of images respectively. Compared with raw images directly obtained by the imaging system, the fused images have a larger FOV with more detail target information. The experimental results demonstrate that the proposed image fusion algorithm is effective to expand the FOV of range-gated imaging.

Paper Details

Date Published: 8 November 2016
PDF: 7 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201K (8 November 2016); doi: 10.1117/12.2246072
Show Author Affiliations
Pengdao Ren, Univ. of Chinese Academy of Science (China)
Institute of Semiconductors (China)
Xinwei Wang, Institute of Semiconductors (China)
Liang Sun, Univ. of Chinese Academy of Science (China)
Institute of Semiconductors (China)
Ruirong You, Univ. of Chinese Academy of Science (China)
Institute of Semiconductors (China)
Pingshun Lei, Institute of Semiconductors (China)
Yan Zhou, Institute of Semiconductors (China)


Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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