| 引用本文: | 尹航,闫野,宋新.压缩感知稀疏重构对星图的影响.[J].国防科技大学学报,2016,38(6):95-103,190.[点击复制] |
| YIN Hang,YAN Ye,SONG Xin.Effect of compressive sensing sparse reconstruction on star image[J].Journal of National University of Defense Technology,2016,38(6):95-103,190[点击复制] |
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| 压缩感知稀疏重构对星图的影响 |
| 尹航, 闫野, 宋新 |
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(国防科技大学 航天科学与工程学院， 湖南 长沙 410073)
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| 摘要: |
| 稀疏重构是压缩感知理论的核心内容之一，为了将稀疏重构有效地应用于星敏感器的压缩成像过程中，从星图图像误差和星点特征误差两个方面分析稀疏重构对星图的影响。在图像误差方面，利用峰值信噪比评价指标考察星图在不同重构算法、不同压缩比下的重构质量；在特征误差方面，从理论上分析稀疏重构对星点特征的影响机理，提出星点特征重构误差的评价指标，考察星点的质心、亮度和数量特征的重构误差。结果表明，在所选算法各压缩比下，星图相比一般图像能够获得更高的重构质量，重构星点能够在很大程度上保持可用于姿态确定的特征信息，结论保证了利用重构星图进行姿态计算的正确性，进一步验证了压缩感知理论在星敏感器中应用的可行性，为实现星敏感器的压缩成像提供了现实依据。 |
| 关键词: 压缩感知 稀疏重构 恒星敏感器 恒星图像 |
| DOI：10.11887/j.cn.201606016 |
| 投稿日期：2015-07-22 |
| 基金项目:国家自然科学基金资助项目（61401487） |
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| Effect of compressive sensing sparse reconstruction on star image |
| YIN Hang, YAN Ye, SONG Xin |
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(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The sparse reconstruction is one of the key factors in compressive sensing theory. In order to apply sparse reconstruction to compressive imaging process of star tracker in an effective way, the effect of sparse reconstruction on star image was analyzed from the perspectives of star image error and star feature error. For the problem of image error, PSNR（peak signal-to-noise ratio） evaluation index was employed to observe reconstruction quality of star image under different reconstruction algorithm and diverse compression ratio. For the problem of feature error, firstly, the influential mechanism of sparse reconstruction on star feature was analyzed theoretically; and then the evaluation index of reconstruction error of star feature was proposed to investigate the reconstruction error of star centroid, brightness and number. Result shows that, the star image can obtain higher reconstruction quality than the common image with the same reconstruction condition under diverse compression ratio of selected algorithm, and the reconstructed star can keep its features for attitude determination to a large extent. The conclusion proves the validity of attitude estimation by using the reconstructed star image, verifies the feasibility of applying compressive sensing to star tracker and provides the practical foundation for compressive imaging of star tracker. |
| Keywords: compressive sensing sparse reconstruction star tracker star image |
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