NDLI: Automatic centroid extraction method for noisy star image

Content Provider	IET Digital Library
Author	Gou, Bin Cheng, Yong mei
Abstract	Star images obtained by star sensors have a low signal-to-noise ratio due to various physical constraints. Low resolution also causes stellar centroid extraction error when traditional methods such as the Gaussian filter or adaptive median filter are utilised to de-noise star images. An automatic centroid extraction method for noisy low-resolution star images is proposed in this study. First, sparse representation is utilised to de-noise the Poisson–Gaussian mixed noise of the low-resolution star image. A high-resolution star image is then reconstructed by using the low-resolution sparse coefficient. Finally, the stellar centroids are extracted automatically by learning the relationship between the high-resolution star image and corresponding stellar centroid image. Experimental results indicate that the positioning accuracy of the stellar centroids is also greatly enhanced by the reconstructed high-resolution stellar centroid image. The correct rate of stellar centroid recognition is 99.35%; the positioning accuracy of stellar centroid and computing time are 16.21″ and 11.30 ms, respectively. The probability distributions ofPoisson and Gaussian noises are 0.50 and 0.08, respectively, while the proposed method correctly recognises stellar centroids at a rate of 76.56%. The results presented here may provide a workable foundation for accurate attitude calculations of the celestial navigation system.
Starting Page	856
Ending Page	862
Page Count	7
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 6, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0979
Journal	IET Image Processing
Publisher Date	2018-01-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Median Filter Automatic Centroid Extraction Method Celestial Navigation System Computer Vision And Image Processing Technique Feature Extraction Gaussian Filter Gaussian Noise High-resolution Stellar Centroid Image Reconstruction Image Denoising Image Recognition Image Reconstruction Image Representation Image Resolution Image Sonsor Low-resolution Sparse Coefficient Noisy Low-resolution Star Imaging Poisson-Gaussian Mixed Noise Probability Probability Distribution Signal to Noise Ratio Star Image Denoising Star Sensor Statistics Stellar Centroid Extraction Error Stellar Centroid Recognition Time 11.30 Ms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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