Faint moving object detection in optical astronomical image using a 2d-1d IUWT

  • Authors:

  • Rui Yao;Feng Duan;Zhen Zhang;Yongpeng Zhang

  • Affiliations:

  • Shaanxi Province Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;Shaanxi Province Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;Shaanxi Province Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China;Shaanxi Province Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China

  • Venue:
  • IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
  • Year:
  • 2011

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Abstract

In this work, we introduce a method for the detection of faint moving object in optical astronomical image sequence. It is based on multiscale 2D-1D image analysis resulting from the à trous wavelet transform decomposition of the original image sequence. The sequence is decomposed into 2D-1D spatial-temporal IUWT(Isotropic Undecimated Wavelet Transform) coefficients. We get multiscale product of 2D-1D wavelet coefficients after thresholding of non-significant coefficients. The multiscale correlation of the filtered wavelet coefficients combines multiscale product coming from different levels of resolution and gives a distinctive characterization of the moving object. By accumulating the multiscale product of each image, the intensity of moving objects will be increased, which increases the accuracy of localization. Experiments performed on optical astronomical image data demonstrate the robustness and efficiency of the method.