Noise-Residue Filtering Based on Unsupervised Clustering for Phase Unwrapping

  • Authors:

  • Jun Jiang;Jun Cheng;Xinglin Chen

  • Affiliations:

  • Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences/The Chinese University of Hong Kong, and Department of Control Science and Engineering, Harbin Institute of Techn ...;Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences/The Chinese University of Hong Kong,;Department of Control Science and Engineering, Harbin Institute of Technology,

  • Venue:
  • ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
  • Year:
  • 2009

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Abstract

This paper analyzes the characteristic of noise-induced phase inconsistencies, or residues in the wrapped phase map. Because residues are the potential source of phase-error propagation, it is essential to eliminate them before phase unwrapping. We propose an unsupervised clustering driven noise-residue filter, and apply it as a preprocessing procedure of phase unwrapping. The filter is based on the fact that most residues are in the form of adjacency caused by noisy phases. These noisy phases differ from the other correct ones numerically within the adjacent residues, so it is possible to group correct phases and noisy ones into different clusters. Besides, this paper also proposes a method to cope with independent residues. The tests performed on simulated and real interferometric data confirm the validity of our approach.