Volume 7 Issue 3
Jun.  2014
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ZENG Wei, WANG Hui-yuan, LIU Ying-qi, WANG Bin, ZHANG Zhen-duo, ZENG Zi-han. 3D reconstruction of space target IR image based on IR-SFS algorithm[J]. Chinese Optics, 2014, 7(3): 376-388. doi: 10.3788/CO.20140703.0376
Citation: ZENG Wei, WANG Hui-yuan, LIU Ying-qi, WANG Bin, ZHANG Zhen-duo, ZENG Zi-han. 3D reconstruction of space target IR image based on IR-SFS algorithm[J]. Chinese Optics, 2014, 7(3): 376-388. doi: 10.3788/CO.20140703.0376

3D reconstruction of space target IR image based on IR-SFS algorithm

doi: 10.3788/CO.20140703.0376
  • Received Date: 16 Dec 2013
  • Rev Recd Date: 13 Feb 2014
  • Publish Date: 25 May 2014
  • In this paper, a new 3D surface reconstruction algorithm named IR-SFS(shape from shading for infrared images) for infrared images of space targets is proposed based on the traditional single image SFS(shape from shading) algorithm, in which both external light source and self-radiation of infrared objects are considered. Firstly, the traditional SFS algorithm is described and the features of IR imaging of space targets are then analyzed to build the IR-SFS radiation equation followed by simulation study. Using temperature estimation to get the IR residual gray image, 3D reconstruction models are achieved on the synthetic infrared images of hemi-sphere, hemi-cylinder satellite and the real infrared image of USA STS107(Space Transportation System Program 107) as the experimental targets. The experiment results show that higher peak signal to noise ratio(PSNR) and better visibility at the top of the space shuttle door, the tail, the cabin and the square equipment in the cabin of STS107 can be obtained by using the proposed 3D reconstruction algorithm with optimized parameters. The overall performance is significantly improved compared to the original SFS algorithm.

     

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