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基于 IR-SFS 算法空间目标红外影像3D重建

曾蔚 王汇源 刘莹奇 王斌 张振铎 曾子晗

中国光学Issue(3):376-388,13.
中国光学Issue(3):376-388,13.DOI:10.3788/CO.20140703.0376

基于 IR-SFS 算法空间目标红外影像3D重建

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

曾蔚 1王汇源 1刘莹奇 2王斌 2张振铎 2曾子晗3

作者信息

  • 1. 山东大学信息科学与工程学院,山东济南250100
  • 2. 中国科学院长春光学精密机械与物理研究所,吉林长春130033
  • 3. 北京联合大学自动化学院,北京100095
  • 折叠

摘要

Abstract

In this paper, a new 3D surface reconstruction algorithm named IR-SFS(shape from shading for in-frared 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 consid-ered.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 , 3 D reconstruction models are achieved on the synthetic infrared images of he-mi-sphere , hemi-cylinder satellite and the real infrared image of USA STS 107 ( 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 pa-rameters.The overall performance is significantly improved compared to the original SFS algorithm .

关键词

红外影像/明暗恢复形状/三维重建/空间目标

Key words

infrared images/Shape From Shading ( SFS)/3D reconstruction/space object

分类

信息技术与安全科学

引用本文复制引用

曾蔚,王汇源,刘莹奇,王斌,张振铎,曾子晗..基于 IR-SFS 算法空间目标红外影像3D重建[J].中国光学,2014,(3):376-388,13.

基金项目

山东省自然科学基金资助项目 ()

中国光学

OACSCDCSTPCD

2095-1531

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