Circular property of complex-valued correlation learning in CMRF-based filtering for synthetic aperture radar interferometry

Neurocomputing

Volumn 134, Issue , 2014, Pages 165-172

  Natsuaki, Ryo ^a   Hirose, Akira ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Complex valued correlation learning; Interferometric synthetic aperture radar (InSAR); Singular point (SP)

Indexed keywords

COMPLEX NETWORKS; HOLOGRAPHY; INFORMATION FILTERING; INTERFEROMETRY; MARKOV PROCESSES; NEURAL NETWORKS; SIGNAL PROCESSING; WAVE PROPAGATION;

COHERENT RADAR SIGNAL; COMPLEX-VALUED; FILTERING PROCESS; INTERFEROMETRIC SYNTHETIC APERTURE RADARS; LOCAL CORRELATIONS; MARKOV RANDOM FIELDS; SINGULAR POINTS; SYNTHETIC APERTURE RADAR INTERFEROMETRY;

SYNTHETIC APERTURE RADAR;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPLEX VALUED CORRELATION LEARNING; COMPLEX VALUED MARKOV RANDOM FIELD; CONTROLLED STUDY; CORRELATION ANALYSIS; DIGITAL ELEVATION MODEL; DOUBLE DIMENSIONAL NEURAL NETWORK; IMAGE PROCESSING; INTERFEROMETRIC SYNTHETIC APERTURE RADAR; INTERFEROMETRY; MATHEMATICAL PARAMETERS; MODEL; PHASE AMPLITUDE MARKOV RANDOM FIELD; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SINGULAR POINT;

EID: 84896542243     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.12.071     Document Type: Article

References (14)

1. Ghiglia D.C., Pritt M.D. Two-Dimensional Phase Unwrapping. Theory, Algorithms, and Software. 1998, John Wiley & Sons, Inc., Wiley-Interscience. New York, ISBN-10: 0471249351.
2. Pritt M., Shipman J. Least-squares two-dimensional phase unwrapping using FFT's. IEEE Trans. Geosci. Remote Sens. 1994, 32(3):706-708.
3. Fornaro G., Franceschetti G., Lanari R. Interferometric SAR phase unwrapping using Green's formulation. IEEE Trans. Geosci. Remote Sens. 1996, 34(3):720-727.
4. A. Reigber, J. Moreira, Phase unwrapping by fusion of local and global methods, in: International Geoscience & Remote Sensing Symposium (IGARSS) 1997, 1997, pp. 869-871.
5. Costantini M. A novel phase unwrapping method based on network programming. IEEE Trans. Geosci. Remote Sens. 1998, 36(3):813-821.
6. Trouvé E., Nicolas J., Maître H. Improving phase unwrapping techniques by the use of local frequency estimates. IEEE Trans. Geosci. Remote Sens. 1998, 36(6):1963-1972.
7. Suksmono A.B., Hirose A. Progressive transform-based phase unwrapping utilizing a recursive structure. IEICE Trans. Commun. 2006, E89-B(3):929-936.
8. Lee J.-S., Papathanassiou K., Ainsworth T., Grunes M., Reigber A. A new technique for phase noise filtering of sar interferometric phase images. IEEE Trans. Geosci. Remote Sens. 1998, 36(5):1456-1465.
9. Goldstein R.M., Werner C.L. Radar interferogram filtering for geophysical applications. Geophys. Res. Lett. 1998, 25(21):4035-4038.
10. Yamaki R., Hirose A. Singular unit restoration in interferograms based on complex-valued Markov random field model for phase unwrapping. IEEE Geosci. Remote Sens. Lett. 2009, 6(1):18-22.
11. A. Hirose, Merits of complex-valued neural networks, in: International Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE), Invited Talk Session, vol. 2, 2010.
12. Hirose A. Nature of complex number and complex-valued neural networks. Front. Electr. Electron. Eng. China 2011, 6(1):171-180.
13. Suksmono A.B., Hirose A. Adaptive noise reduction of insar images based on a complex-valued mrf model and its application to phase unwrapping problem. IEEE Trans. Geosci. Remote Sens. 2002, 40(3):699-709.
14. Hirose A., Yoshida S. Generalization characteristics of complex-valued feedforward neural networks in relation to signal coherence. IEEE Trans. Neural Netw. Learn. Syst. 2012, 23(4):541-551.