Vol 12, No 2 (2008) > Articles >

Phase Unwrapping InSAR Image Using Local Energy Minimization Approach

Kusworo Adi 1 , Tati Mengko 2 , Andriyan Suksmono 3 , Hendra Gunawan 4

Affiliations:

  1. 1. Sekolah Teknik Elektro dan Informatika, Institut Teknologi Bandung, Bandung 40132, Indonesia.2. Jurusan Fisika, FMIPA, Universitas Diponegoro, Tembalang, Semarang 50239, Indonesia
  2. Sekolah Teknik Elektro dan Informatika, Institut Teknologi Bandung, Bandung 40132, Indonesia.
  3. Sekolah Teknik Elektro dan Informatika, Institut Teknologi Bandung, Bandung 40132, Indonesia
  4. Departemen Matematika, FMIPA, Institut Teknologi Bandung, Bandung 40132, Indonesia.

 

Abstract:

Reconstruction process of phase data from its cover is called Phase Unwrapping (PU). Ideally, without any noise phrase, singularity, and aliasing problems, the phase information can be unwrapped easily. However, in fact, the phase data actually always get noise disturbance and discontinuity. The PU process becomes more complicated and needs a better PU algorithm to address
the problems properly. In this research, the local PU algorithm is developed using minimization of close related firstorder pixels energy approach. In this method, the energy difference between four close related pixels is counted, followed by getting the probability value to obtain its total multiple ranges. Based on the research using synthesis ring image and InSAR with coherence 0.8, the Peak Signal to Noise Ratio (PNSR) range will be 30.5373 dB in 20 itteration.

Keywords: phase unwrapping, energy minimization
Published at: Vol 12, No 2 (2008) pages: 75-79
DOI:

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References:

. D.C. Ghiglia, M.D. Pritt, Two Dimensional Phase Unwrapping: Theory, Algorithms, and Software, John Wiley & Sons, Inc. ISBN 0-417-24935-1, 1998.

. H.A. Zebker, Y. Lu, Journal of Optical Society of America, 15/3 (1998).

. M.D. Pritt, Phase Unwrapping by Means of Multigrid Techniques for Interferometric SAR, IEEE Transactions on Geoscience and Remote Sensing, 34/3) (1996) 728-738.

. A.B. Suksmono and A. Hirose, Progresive Trasnform-Based Phase Unwrapping Utilizing a Recursive Structure, IEICE Trans. Communication, E89-B/3 (2006) 929-936.

. D.E.O. Dewi, A.B. Suksmono, T.L.R. Mengko, The 7 International Workshop on Enterprise Networking and computing in Healthcare Industry, Busan, Korea, 2005.

. A. B. Suksmono and A. Hirose, IECI Chapter Japan Series, 3/1, ISSN 1344-749 (2001) pp. 70-77.s

. Jos M. Bioucas-Dias Gonalo Valadao, IEEE Transactions on Image Procesiing, 16/3, ISSN:1057-7149 (2007) 698-709.

. H. Nishimori, Statistical physics of spin glasses and information processing: an introduction, Oxford university Press, Oxford, 2001.

. J. M. Pryce, A. D. Bruce, J. Phys. A: Math. Gen. A 28 (1995) 511

. G.K. Nicholls, S.M. Tan, Inverse Problems, PHYSICS 707, The University of Auckland, http://www.math.auckland.ac.nz, 2006.

. S. Kirkpatrick, C.D. Gelatt, M.P. Vecchi, Science, 220/4598 (1983) 671-680.