Super-resolution reconstruction for multi-angle remote sensing images considering resolution differences

Remote Sensing

Volumn 6, Issue 1, 2013, Pages 637-657

  Zhang, Hongyan ^a   Yang, Zeyu ^b   Zhang, Liangpei ^a   Shen, Huanfeng ^a  

^a WUHAN UNIVERSITY   (China)

^b Xuzhou Institute of Surveying and Mapping   (China)

Author keywords

Multi angle remote sensing; Resolution differences; Super resolution; Total variation

Indexed keywords

ADAPTIVE WEIGHTING; DIFFERENT RESOLUTIONS; MULTI-ANGLE REMOTE SENSING; SPATIAL RESOLUTION; SUPER RESOLUTION; SUPER-RESOLUTION RECONSTRUCTION; SUPER-RESOLUTION RECONSTRUCTION TECHNIQUES; TOTAL VARIATION; SUPER RESOLUTION RECONSTRUCTION;

IMAGE RECONSTRUCTION; IMAGE PROCESSING; OPTICAL RESOLVING POWER; REMOTE SENSING;

OPTICAL RESOLVING POWER; IMAGE RECONSTRUCTION;

EID: 84893429874     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6010637     Document Type: Article

References (32)

1. Ng, M.K.; Shen, H.; Lam, E.; Zhang, L. A total variation based super-resolution reconstruction algorithm for digital video. EURASIP J. Adv. Signal Process. 2007, doi:10.1155/2007/74585.
2. Zhang, H.; Zhang, L.; Shen, H. A super-resolution reconstruction algorithm for hyperspectral images. Signal Process. 2012, 92, 2082-2096.
3. Park, S.C.; Park, M.K.; Kong, M.G. Super-resolution image reconstruction: A technical overview. IEEE Signal Process. Mag. 2003, 20, 21-36.
4. Farsiu, S.; Robinson, D.; Elad, M.; Milanfar, P. Advances and challenges in super-resolution. Int. J. Imaging Syst. Technol. 2004, 14, 47-57.
5. Tsai, R.Y.; Huang, T.S. Multiframe image restoration and registration. Adv. Comput. Vis. Image Process. 1984, 1, 317-339.
6. Schultz, R.R.; Stevenson, R.L. Extraction of high-resolution frames from video sequences. IEEE Trans. Image Process. 1996, 5, 996-1011.
7. Stark, H.; Oskoui, P. High-resolution image recovery from image-plane arrays, using convex projections. JOSA A. 1989, 6, 1715-1726.
8. Ur, H.; Gross, D. Improved resolution from subpixel shifted pictures. CVGIP: Graph. Models Image Process. 1992, 54, 181-186.
9. Tom, B.C.; Katsaggelos, A.K. Reconstruction of a High-Resolution Image by Simultaneous Registration, Restoration, and Interpolation of Low-Resolution Images. In Proceedings of the International Conference on Image Processing, Washington, DC, USA, 23-26 October 1995; pp. 539-542.
10. Tom, B.C.; Katsaggelos, A.K.; Galatsanos, N.P. Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution Images. In Proceedings of the IEEE International Conference Image Processing, Austin, TX, USA, 13-16 November 1994; pp. 553-557.
11. Irani, M.; Peleg, S. Improving resolution by image registration. CVGIP: Graph. Models Image Process. 1991, 53, 231-239.
12. Elad, M.; Feuer, A. Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. IEEE Trans. Image Process. 1997, 6, 1646-1658.
13. Latry, C.; Rouge, B. Super resolution: Quincunx Sampling and Fusion Processing. In Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 21-25 July 2003; pp. 315-317.
14. Akgun, T.; Altunbasak, Y.; Mersereau, R.M. Super-resolution reconstruction of hyperspectral images. IEEE Trans. Image Process. 2005, 14, 1860-1875.
15. Shen, H.; Ng, M.K.; Li, P.; Zhang, L. Super-resolution reconstruction algorithm to MODIS remote sensing images. Comput. J. 2009, 52, 90-100.
16. Li, F.; Jia, X.; Fraser, D.; Lambert, A. Super resolution for remote sensing images based on a universal hidden markov tree model. IEEE Trans. Geosci. Remote Sens. 2010, 48, 1270-1278.
17. Chan, J.C.W.; Ma, J.; Kempeneers, P.; Canters, F. Superresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model. IEEE Trans. Geosci. Remote Sens. 2010, 48, 2569-2579.
18. Ma, J.; Chan, J.C.W.; Canters, F. An operational superresolution approach for multi-temporal and multi-angle remotely sensed imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2012, 5, 110-124.
19. Galbraith, A.E.; Theiler, J.; Thome, K.J.; Ziolkowski, R.W. Resolution enhancement of multilook imagery for the multispectral thermal imager. IEEE Trans. Geosci. Remote Sens. 2005, 43, 1964-1977.
20. Farsiu, S.; Robinson, M.D.; Elad M.; Milanfar, P. Fast and robust multiframe super resolution. IEEE Trans. Image Process. 2004, 13, 1327-1344.
21. Vandewalle, P.; Susstrunk, S.; Vetterli, M. A frequency domain approach to registration of aliased images with application to super-resolution. EURASIP J. Adv. Signal Process. 2006, doi:10.1155/ASP/2006/71459.
22. Rudin, LI.; Osher, S.; Fatemi, E. Nonlinear total variation based noise removal algorithms. Physica D 1992, 60, 259-268,.
23. Bioucas-Dias, J.; Figueiredo, M.; Oliveira J. Adaptive Bayesian/total-variation image deconvolution: A majorization-minimization approach. In Proceedings of the European Signal Processing Conference, Florence, Italy, 4-8 September 2006; pp. 1-4.
24. Vogel C.R. Computational Methods for Inverse Problems; SIAM Frontiers in Applied Mathematics: Philadelphia, PA, USA, 2002.
25. Hu, H.; Kondi, L.P. An image super-resolution algorithm for different error levels per frame. IEEE Trans. Image Process. 2006, 15, 592-603.
26. Pacifici, F.; Chanussot J.; Du, Q. 2011 GRSS data fusion contest: Exploiting WorldView-2 multi-angular acquisitions. In Proceedings of the IEEE International on Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, Canada, 24-29 July 2011; pp. 1163-1166.
27. Banham, M.R.; Katsaggelos A.K. Digital image restoration. IEEE Signal Process. Mag. 1997, 14, 24-41.
28. Wang, Z.; Bovik, A.C.; Sheikh H.R.; Simoncelli, E.P. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process. 2004, 13, 600-612.
29. Narvekar, N.D.; Karam, L.J. A no-reference image blur metric based on the cumulative probability of blur detection (CPBD). IEEE Trans. Image Process. 2011, 20, 2678-2683.
30. Xiang, Z.; Milanfar, P. Automatic parameter selection for denoising algorithms using a no-reference measure of image content. IEEE Trans. Image Process. 2010, 19, 3116-3132.
31. He, Y.; Yap, K.; Chen, L.; Chau L. A soft MAP framework for blind super-resolution image reconstruction. Image Vis. Comput. 2009, 27, 364-373.
32. Zhang, L.; Zhang, H.; Shen, H.; Li, P. A super-resolution reconstruction algorithm for surveillance images. Signal Process. 2010, 90, 848-859.