An Approach to Fine Coregistration between Very High Resolution Multispectral Images Based on Registration Noise Distribution

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 12, 2015, Pages 6650-6662

  Han, Youkyung ^a   Bovolo, Francesca ^a   Bruzzone, Lorenzo ^b  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Change vector analysis (CVA); image coregistration; registration noise (RN); remote sensing; very high resolution (VHR) multispectral images

Indexed keywords

ALIGNMENT; DEFORMATION; IMAGE ANALYSIS; REMOTE SENSING;

CHANGE VECTOR ANALYSIS; CONTROL POINTS (CPS); IMAGE CO-REGISTRATION; MULTI-TEMPORAL IMAGE; MULTISPECTRAL IMAGES; NOISE DISTRIBUTION; REGISTRATION NOISE (RN); VERY HIGH RESOLUTION;

IMAGE PROCESSING;

COORDINATE; IMAGE ANALYSIS; IMAGE RESOLUTION; INTERPOLATION; MULTISPECTRAL IMAGE; NOISE; PIXEL; REMOTE SENSING; VECTOR;

EID: 85027947948     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2445632     Document Type: Article

References (47)

1. B. Zitová and J. Flusser, "Image registration methods: A survey," Image Vis. Comput., vol. 21, no. 11, pp. 977-1000, Aug. 2003.
2. J. Inglada, V. Muron, D. Pichard, and T. Feuvrier, "Analysis of artifacts in subpixel remote sensing image registration," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 1, pp. 254-264, Jan. 2007.
3. A. Wong and D. A. Clausi, "ARRSI: Automatic registration of remotesensing images," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 5, pp. 1483-1493, May 2007.
4. J. G. Liu and H. Yan, "Phase correlation pixel-to-pixel image coregistration based on optical flow and median shift propagation," Int. J. Remote Sens., vol. 29, no. 20, pp. 5943-5956, Oct. 2008.
5. Q. Li, H. Zhang, and T. Wang, "Multispectral image matching using rotation-invariant distance," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 406-410, May 2011.
6. V. Arévalo and J. González, "An experimental evaluation of non-rigid registration techniques on QuickBird satellite imagery," Int. J. Remote Sens., vol. 29, no. 2, pp. 513-527, Jan. 2008.
7. S. Suri and P. Reinartz, "Mutual-information-based registration of TerraSAR-X and Ikonos imagery in urban areas," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 2, pp. 939-949, Feb. 2010.
8. C. Huo, C. Pan, L. Huo, and Z. Zhou, "Multilevel SIFT matching for large-size VHR image registration," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 2, pp. 171-175, Mar. 2012.
9. D. Capel and A. Zisserman, "Computer vision applied to super resolution," IEEE Signal Process. Mag., vol. 20, no. 3, pp. 75-86, May 2003.
10. L. Yu, D. Zhang, and E. J. Holden, "A fast and fully automatic registration approach based on point features for multi-source remote-sensing images," Comput. Geosci., vol. 34, no. 7, pp. 838-848, Jul. 2008.
11. Z. Xiong and Y. Zhang, "A novel interest-point-matching algorithm for high-resolution satellite images," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 12, pp. 4189-4200, Dec. 2009.
12. T. Long, W. Jiao, G. He, and W. Wang, "Automatic line segment registration using Gaussian mixture model and expectation-maximization algorithm," IEEE J. Sel. Topics Appl. Earth Observ., vol. 7, no. 5, pp. 1688-1699, May 2014.
13. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
14. H. Goncąlves, L. Corte-Real, and A. Goncąlves, "Automatic image registration through image segmentation and SIFT," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 7, pp. 2589-2600, Jul. 2011.
15. A. Sedaghat, M. Mokhtarzade, and H. Ebadi, "Uniform robust scaleinvariant featurematching for optical remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4516-4527, Nov. 2011.
16. Y. Han, Y. Byun, J. Choi, D. Han, and Y. Kim, "Automatic registration of high-resolution images using local properties of features," Photogramm. Eng. Remote Sens., vol. 78, no. 3, pp. 211-221, Mar. 2012.
17. Y. Huachao, Z. Shubi, and W. Yongbo, "Robust and precise registration of oblique images based on scale-invariant feature transformation algorithm," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 4, pp. 783-787, Jul. 2013.
18. L. Wang, Z. Niu, C. Wu, R. Xie, and H. Huang, "A robust multisource image automatic registration system based on the SIFT descriptor," Int. J. Remote Sens., vol. 33, no. 12, pp. 3850-3869, Jun. 2012.
19. P. Schwind, S. Suri, P. Reinartz, and A. Siebert, "Applicability of the SIFT operator to geometric SAR image registration," Int. J. Remote Sens., vol. 31, no. 8, pp. 1959-1980, Apr. 2010.
20. B. Fan, C. Huo, C. Pan, and Q. Kong, "Registration of optical and SAR satellite images by exploring the spatial relationship of the improved SIFT," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 657-661, Jul. 2013.
21. M. Gong, S. Zhao, L. Jiao, D. Tian, and S. Wang, "A novel coarse-tofine scheme for automatic image registration based on SIFT and mutual information," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4328-4338, Jul. 2014.
22. G. Hong and Y. Zhang, "Wavelet-based image registration technique for high-resolution remote sensing images," Comput. Geosci., vol. 34, no. 12, pp. 1708-1720, Dec. 2008.
23. V. Arévalo and J. González, "Improving piecewise linear registration of high-resolution satellite images through mesh optimization," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3792-3803, Nov. 2008.
24. Y. Han, J. Choi, Y. Byun, and Y. Kim, "Parameter optimization for the extraction of matching points between high-resolution multisensory images in urban areas," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5612-5621, Sep. 2014.
25. Y. Ye and J. Shan, "A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences," ISPRS J. Photogramm. Remote Sens., vol. 90, no. 4, pp. 83-95, Apr. 2014.
26. P. Gong, E. F. Ledrew, and J. R. Miller, "Registration-noise reduction in difference images for change detection," Int. J. Remote Sens., vol. 13, no. 4, pp. 773-779, Mar. 1992.
27. L. Bruzzone and R. Cossu, "Adaptive approach to reducing registration noise effects," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 11, pp. 2455-2465, Nov. 2003.
28. J. Townshend, C. Justice, C. Gurney, and J. McManus, "The impact of misregistration on change detection," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 5, pp. 1054-1060, Sep. 1992.
29. J. Inglada and A. Giros, "On the possibility of automatic multisensor image registration," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 10, pp. 2104-2120, Oct. 2004.
30. F. Bovolo, L. Bruzzone, and S. Marchesi, "Analysis and adaptive estimation of the registration noise distribution in multitemporal VHR images," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2658-2671, Aug. 2009.
31. S. Marchesi, F. Bovolo, and L. Bruzzone, "A context-sensitive technique robust to registration noise for change detection in VHR multispectral images," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1877-1889, Jul. 2010.
32. F. Bovolo and L. Bruzzone, "A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 1, pp. 218-236, Jan. 2007.
33. L. Bruzzone and D. Fernández-Prieto, "A minimum-cost thresholding technique for unsupervised change detection," Int. J. Remote Sens., vol. 21, no. 18, pp. 3539-3544, 2000.
34. L. Bruzzone and D. Fernández-Prieto, "Automatic analysis of the difference image for unsupervised change detection," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 3, pp. 1170-1182, May 2000.
35. T. Celik and K. K. Ma, "Unsupervised change detection for satellite images using dual-tree complex wavelet transform," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1199-1210, Mar. 2010.
36. S. Marchesi and L. Bruzzone, "A registration-noise driven technique for the alignment of VHR remote sensing images," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Jul. 25-30, 2010, pp. 1023-1026.
37. E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Stat., vol. 33, no. 3, pp. 1065-1076, Sep. 1962.
38. Z. Wang and A. C. Bovik, "Mean squared error: Love it or leave it?-A new look at signal fidelity measures," IEEE Signal Process. Mag., vol. 26, no. 1, pp. 98-117, Jan. 2009.
39. R. Sibson, "A brief description of natural neighbour interpolation," in Interpreting Multivariate Data. Chichester, U.K.: Wiley, 1981, pp. 21-36.
40. Y. Zhang and G. Hong, "An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images," Inf. Fusion, vol. 6, no. 3, pp. 225-234, Sep. 2005.
41. Y. Han, B. Kim, Y. Kim, and W. Lee, "Automatic cloud detection for high spatial resolution multi-temporal images," Remote Sens. Lett., vol. 5, no. 7, pp. 601-608, Jul. 2014.
42. R. E. Kennedy and W. B. Cohen, "Automated designation of tie-points for image-to-image coregistration," Int. J. Remote Sens., vol. 24, no. 17, pp. 3467-3490, Sep. 2003.
43. Y. Bentoutou, N. Taleb, K. Kpalma, and J. Ronsin, "An automatic image registration for applications in remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 9, pp. 2127-2137, Sep. 2005.
44. M. Fischler and R. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM, vol. 24, no. 6, pp. 381-395, Jun. 1981.
45. S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 7, pp. 674-693, Jul. 1989.
46. C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Blobworld: Image segmentation using expectation-maximization and its application to image querying," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 8, pp. 1026-1038, Aug. 2002.
47. F. Bovolo and L. Bruzzone, "A split-based approach to unsupervised change detection in large-size multitemporal images: Application to tsunami-damage assessment," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1658-1670, Jun. 2007.