Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 6, 2016, Pages 2665-2675

  Fablet, Ronan ^a   Rousseau, Francois ^a  

^a ECOLE DES MINES DE NANTES   (France)

Author keywords

Exemplar based texture models; Inpainting; Missing data interpolation; Non local models; Ocean remote sensing; Sea surface fields

Indexed keywords

ATMOSPHERIC TEMPERATURE; DATA VISUALIZATION; GEOPHYSICS; INTERPOLATION; REMOTE SENSING; STATISTICS; SUBMARINE GEOPHYSICS; SURFACE PROPERTIES; SURFACE WATERS;

HIGH-RESOLUTION DETAILS; INTERPOLATION TECHNIQUES; MARGINAL DISTRIBUTION; MULTI-RESOLUTION REMOTE SENSING; MULTI-SENSOR DATA; SEA SURFACE TEMPERATURE (SST); SPATIAL COVARIANCE; STATISTICAL MODELING;

OCEANOGRAPHY;

COVARIANCE ANALYSIS; INTERPOLATION; NUMERICAL MODEL; PARAMETERIZATION; REMOTE SENSING; SATELLITE DATA; SEA SURFACE TEMPERATURE; SENSOR; SPATIAL ANALYSIS;

EID: 84973569102     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2523605     Document Type: Article

References (41)

1. A. Alvera-Azcarate, A. Barth, M. Rixen, and J. M. Beckers, "Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: Application to the Adriatic Sea surface temperature," Ocean Model., vol. 9, no. 4, pp. 325-346, 2005.
2. E. Autret and J. F. Piolle. (2011). Product User Manual for ODYSSEA Level 3 and 4 Global and Regional Products. MYO-PUM-SST-TACODYSSEA, Ifremer/CERSAT [Online]. Available: http://projets.ifremer. fr/cersat/Data/Discovery/By-parameter/Sea-surface-Temperature/ODYSSEA-Global-SST-Analysis
3. D. Sirjacobs et al., "Cloud filling of ocean colour and sea surface temperature remote sensing products over the Southern North Sea by the data interpolating empirical orthogonal functions methodology," J. Sea Res., vol. 65, no. 1, pp. 114-130, 2011.
4. S. Ba, E. Autret, B. Chapron, and R. Fablet, "Statistical descriptors of ocean regimes from the geometric regularity of sea surface temperature observations," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 5, pp. 851-854, Sep. 2012.
5. A. Buades, B. Coll, and J. M. Morel, "A non-local algorithm for image denoising," in Proc. IEEE Conf. Comput. Vis. Pattern Recog. (CVPR'05), 2005, pp. 60-65.
6. D. Bernard, G. Boffetta, A. Celani, and G. Falkovich, "Conformal invariance in two-dimensional turbulence," Nat. Phys., vol. 2, no. 2, pp. 124-128, 2006.
7. B. T. Oh and C.-C. Jay Kuo, "Super-resolution texture synthesis using stochastic PAR/NL model," J. Vis. Comput. Image Represent., vol. 23, no. 7, pp. 995-1007, 2012.
8. V. Caselles, J. M. Morel, and C. Sbert, "An axiomatic approach to image interpolation," IEEE Trans. Image Process., vol. 7, no. 3, pp. 376-386, Mar. 1998.
9. P. Chainais, E. Konig, V. Delouille, and J. F. Hochedez, "Virtual super resolution of textured images using multifractal stochastic processes," J. Math. Imag. Vis., vol. 39, no. 1, pp. 28-44, 2011.
10. A. Criminisi, P. Perez, and K. Toyama, "Region filling and object removal by exemplar-based image inpainting," IEEE Trans. Image Process., vol. 13, no. 9, pp. 1200-1212, Sep. 2004.
11. C. A. Deledalle, L. Denis, and F. Tupin, "NL-InSAR: Nonlocal interferogram estimation," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1441-1452, Apr. 2011.
12. A. A. Efros and W. T. Freeman, "Image quilting for texture synthesis and transfer," in Proc. ACM SIGGRAPH, 2001, pp. 341-346.
13. R. Fablet, B. Boussidi, E. Autret, and B. Chapron, "Random walk models for geometry-driven image super-resolution," in Proc. 38th Int. Conf. Acoust. Speech Signal Process. (ICASSP'13), 2013, pp. 2207-2211.
14. W. T. Freeman and C. Liu, "Markov Random Fields for Super-resolution and Texture Synthesis," in Advances in Markov Random Fields for Vision and Image Processing, A. Blake, P. Kohli and C. Rother, Eds. Cambridge, MA, USA: MIT Press, 2011, ch. 10.
15. B. Galerne, Y. Gousseau, and J. M. Morel, "Random phase textures: Theory and synthesis," IEEE Trans. Image Process., vol. 20, no. 1, pp. 257-267, Jan. 2011.
16. D. Glasner, S. Bagon, and M. Irani, "Super-resolution from a single image," in Proc. IEEE Int. Conf. Comput. Vis. (ICCV'09), 2009, pp. 91-94.
17. H. He and W. C. Siu, "Single image super-resolution using Gaussian process regression," in Proc. IEEE Conf. Comput. Vis. Pattern Recog. (CVPR'11), 2011, pp. 449-456.
18. D. J. Heeger and J. R. Bergen, "Pyramid based texture analysis/synthesis," in Proc. ACM SIGGRAPH, 1995, pp. 229-238.
19. A. N. Kolmogorov, "The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers," Dokl. Akad. Nauk SSSR, vol. 30, pp. 299-303, 1941.
20. G. Lapeyre and P. Klein, "Dynamics of the upper oceanic layers in terms of surface quasigeostrophy theory," J. Phys. Oceanogr., vol. 36, no. 2, pp. 165-176, 2006.
21. P. Le Traon, P. Klein, B. Hua, and G. Dibarboure, "Do altimeter wavenumber spectra agree with the interior or surface quasigeostrophic theory?" J. Phys. Oceanogr., vol. 38, no. 5, pp. 1137-1142, 2008.
22. O. Le Meur, M. Ebdelli, and C. Guillemot, "Hierarchical superresolution-based inpainting," IEEE Trans. Image Process., vol. 22, no. 10, pp. 3779-3790, Oct. 2013.
23. R. Lguensat, P. Tandeo, R. Fablet, and R. Garello, "Spatio-Temporal interpolation of sea surface temperature using high resolution remote sensing data," in Proc. IEEE OCEANS, St. John's, NL, Canada, Sep. 2014, pp. 1-4.
24. L. Lorenzi, F. Melgani, and G. Mercier, "Inpainting strategies for reconstruction of missing data in VHR images," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 914-918, Sep. 2011.
25. K. McCaffrey, B. Fox-Kemper, and G. Forget, "Estimates of ocean macro-Turbulence: Structure function and spectral slope from Argo profiling floats," J. Phys. Ocean., vol. 45, no. 7, pp. 1773-1793, 2015.
26. S. A. Mallat, Wavelet Tour of Signal Processing. New York, NY, USA: Academic, 2008
27. V. Nieves et al., "Common turbulent signature in sea surface temperature and chlorophyll maps," Geophys. Res. Lett., vol. 34, no. 23, L23602p., 2007, doi: 10.1029/2007GL030823.
28. J. D. Stark, C. J. Donlon, M. J. Martin, and M. E. McCulloch, "OSTIA: An operational, high resolution, real time, global sea surface temperature analysis system," in Proc. IEEE Oceans, 2007, pp. 1-4.
29. G. Peyre, S. Bougleux, and L. Cohen, "Non-local regularization of inverse problems," in Proc. Eur. Conf. Comput. Vis. (ECCV'08), 2008, pp. 57-68.
30. P. Qi and L. Cao, "The assimilation of Jason-2 significant wave height data in the north Indian ocean using the ensemble optimal interpolation," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 1, pp. 287-297, Jan. 2016.
31. Y. Romano, M. Protter, and M. Elad, "Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling," IEEE Trans. Image Process., vol. 23, no. 7, pp. 3085-3098, Jul. 2014.
32. F. Rousseau, "A non-local approach for image super-resolution using intermodality priors," Med. Image Anal., vol. 14, no. 4, pp. 594-605, 2010.
33. P. Tandeo, P. Ailliot, and E. Autret, "Linear Gaussian State-Space Model with Irregular Sampling: Application to Sea Surface Temperature, Stochastic," Environ. Res. Risk Assess., vol. 25, no. 6, pp. 793-804, 2011.
34. P. Tandeo et al., "Combining analog method and ensemble data assimilation: Application to the Lorenz-63 chaotic system," in Machine Learning and Data Mining Approaches to Climate Science. New York, NY, USA: Springer, 2015.
35. G. Tartavel, Y. Gousseau, and G. Peyré, "Variational Texture Synthesis with Sparsity and Spectrum Constraints," J. Math. Imag. Vis., vol. 52, no. 1, pp. 124-144, 2015.
36. D. Wang and S. Lang, "Improving LAI mapping by integrating MODIS and CYCLOPES LAI products using optimal interpolation," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 2, pp. 445-457, Feb. 2014.
37. Y. Xu and L.-L. Fu, "Global variability of the wavenumber spectrum of oceanic mesoscale turbulence," J. Phys. Oceanogr., vol. 41, pp. 802-809, 2011.
38. L. Yi, K. Takahashi, and M. Sato, "A fast iterative interpolation method in f-k domain for 3-D irregularly sampled GPR data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 9, no. 1, pp. 9-17, Jan. 2016.
39. W. Yu, Z. Nan, Z. Wang, H. Chen, T. Wu, and L. Zhao, "An effective interpolation method for MODIS land surface temperature on the Qinghai-Tibet Plateau," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 9, pp. 4539-4550, Sep. 2015.
40. D. Zhang, R. Tang, B. H. Tang, H. Wu, and Z. L. Li, "A simple method for soil moisture determination from LST-VI feature space using nonlinear interpolation based on thermal infrared remotely sensed data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 2, pp. 638-648, Feb. 2015.
41. Z. Zhao and D. Giannakis, "Analog forecasting with dynamics-Adapted kernels," arXiv preprint arXiv:1412.3831, 2014.