CAJ | 학술논문

在利用单幅影像的明暗恢复形状（Shape From Shading，SFS）三维重构算法的基础上，提出同时考虑外界辐射源和目标自身红外辐射的IR-SFS（ infrared-SFS）算法。首先通过分析SFS算法原理和空间目标的红外成像特性，建立IR-SFS辐射方程并进行了仿真研究，然后利用温度场估计获得红外差值图，在人工合成的理想半球体、半圆柱体卫星红外影像上进行算法测试，并以美国STS107真实红外影像作为实验目标进行三维重建。实验结果表明，所提出IR-SFS算法经过参数优化后，与原SFS算法相比，重建模型的峰值信噪比更高，对STS107顶部舱门、尾翼、机舱、机舱内方形部件具有更佳显示度，整体效果得到明显改善。
재이용단폭영상적명암회복형상（Shape From Shading，SFS）삼유중구산법적기출상，제출동시고필외계복사원화목표자신홍외복사적IR-SFS（ infrared-SFS）산법。수선통과분석SFS산법원리화공간목표적홍외성상특성，건립IR-SFS복사방정병진행료방진연구，연후이용온도장고계획득홍외차치도，재인공합성적이상반구체、반원주체위성홍외영상상진행산법측시，병이미국STS107진실홍외영상작위실험목표진행삼유중건。실험결과표명，소제출IR-SFS산법경과삼수우화후，여원SFS산법상비，중건모형적봉치신조비경고，대STS107정부창문、미익、궤창、궤창내방형부건구유경가현시도，정체효과득도명현개선。
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 .