Abstract
Striations image generated in target localization algorithm using a guide source (GTL algorithm) is always blurred and indistinct because of noise pollution. Range estimation can not be realized. In order to achieve the distance accurate localization in the low signal to noise (SNR), image de-noising method is proposed. After de-noising, radon transform has been used. Wavelet threshold de-noising method is proposed in this paper. Because the hard and soft threshold functions have disadvantages, a new method of threshold function is introduced. The simulation results show that the distance localization efficiency of the GTL algorithm has been improved by using the wavelet de-noising method.
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He, Q., Da, L., Xu, G. (2013). A Method for Range Estimation Based on Image Processing. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34522-7_23
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DOI: https://doi.org/10.1007/978-3-642-34522-7_23
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