A New Automatic Image Registration Algorithm Based on Corner Detector for Remote Sensing Applications


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Abstract


In this paper, we propose a new automatic satellite image registration approach capable of handling remotely sensed images geometrically distorted by various transformations such as translation, rotation, and shear. This technique exploits the invariant relations between regions of a reference image and those of a sensed image. It involves an edge-based selection of the most distinctive control points in the reference image. The search for the corresponding control points in the sensed image is based on local similarity detection by means of correlation coefficient according to a combined invariants-based similarity measure. Feature matches are refined using RANSAC matching algorithm. The final warping of the images according to the selected control points is performed by using affine transformations. The procedure is fully automatic and computationally efficient. The proposed algorithm for this technique has been successfully applied to register multitemporal Spot, Landsat, Ikonos, Quick bird, ERS-1, SAR, and aerial images from urban and agricultural areas. The experimental results demonstrate the robustness, efficiency and accuracy of the algorithm.
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Keywords


Image Registration; Feature Detection; Feature Matching; Affine Transformations; Mapping Function; RANSAC Algorithm

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References


H. Chen, P. Varshney, and M. Arora, Mutual information based image registration for remote sensing data, International Journal of Remote Sensing, Vol. 24, no.18, pp. 3701-3706, 2003.

W. Li and H. Leung, A maximum likelihood approach for image registration using control point and intensity, IEEE Transactions on Image Processing, Vol.13, no. 8, p.1115-1127, Aug. 2004.

J. Kybic and M. Unser, Fast parametric elastic image registration, IEEE Transactions on Image Processing, vol. 12, no. 11: pp. 1427–1442, Nov. 2003.

J. Orchard, Efficient global weighted least-squares translation registration in frequency domain, Proceedings of International Conference on Image Analysis and Recognition, 2005, p. 116-124.

F. Eugenio, Automatic Satellite Image Georeferencing Using a Contour-Matching Approach, IEEE Transactions on Geosciences and Remote Sensing, Vol.41, N°.12, Dec 2003.

I. Zavorin and J. Le Moigne, Use of multiresolution wavelet feature pyramids for automatic registration of multisensor imagery, IEEE Transactions on Image Processing, vol. 14, no. 6: pp. 770–782, Jun. 2005.

D. Xiaolong and S. Khorram, A feature-based image registration algorithm using improved chain-code representation combined with invariant moments, IEEE Transactions on Geosciences and Remote Sensing, vol. 37, no. 5, pp. 2351–2362, Sep. 1999.

F. Eugenio, F. Marques, and J. Marcello, A contour-based approach to automatic and accurate registration of multitemporal and multisensory satellite imagery, Proceedings of IEEE International Geosciences and Remote Sensing, 2002, vol. 6: pp. 3390–3392.

C. Hsu and R. Beuker, Multiresolution feature-based image registration, Proceedings of SPIE Visual Communications and Image Processing, 2002, vol. 4067: pp. 1490–1498.

M. Ali and D. Clausi, “Automatic registration of SAR and visible band remote sensing images, Proceedings of IEEE International Geosciences and Remote Sensing, 2002, vol. 3: pp. 1331–1333.

M. Trajkovie and M. Hedley, Fast corner detection, Image and Vision Computing, vol.16: pp. 75-87 (2002).

F. Mokhtarian and R. Suomela, Robust image corner detection through curvature scale space, IEEE Transactions on Patern Analysis and Machine Intelligence, vol 20 (12): pp. 1376-1381 (1998).

M.A. Ruzon and C. Tomasi, Edge, junction, and corner detection using color distributions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 23 (13), pp. 1281-1295 (2001).

E. Sojka, Determining the camera trajectory: a step towards creating a three-dimensional model of a scene, Proceedings of the 21st International Workshop Advanced Simulation of Systems ASIS, Krnov, Czech Republic, p. 65-72 (1999).

E. Sojka, A new algorithm for detecting corners in digital images, Proceeding of Spring Conference on Computer Graphics, Bundmercie, Slovakia, pp. 47-54 (2002).

B. Zitova, J. Kautsky, G. Peters, J. Flusser, Robust detection of significant points in multiframe images, Pattern Recognition Letters, vol 20: p. 199-206 (2001).

G. Lingjia, G. Shuxu, R. Ruizhi, A novel method of dynamic target detection, Proceedings of SPIE, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, vol.6357 (1): pp. 63570E-1-7, 2006.

A. Goshtasby, S. H. Gage, and J. F. Bartholic, A two-stage cross correlation approach to template matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 6(3): pp. 374–378 (1984).

D. Nister, Pre-emptive RANSAC for live structure and motion estimation, Proceedings of the International Conference on Computer Vision, pp. 199–206, 2003.

O. Chum, T. Werner, and J. Matas, Epipolar geometry estimation via RANSAC benefits from the oriented epipolar constraint, In Proceedings of the International Conference on Pattern Recognition, pp. 112-115, 2004.

V. Govindu and C. Shekhar, Alignment using distributions of local geometric properties, IEEE Transactions of Pattern Analysis on Machine Intelligence, vol. 21, no. 10,pp. 1031–1043, Oct. 1999.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2000.

J. L. Mundy, A. Zisserman, Geometric Invariance in Computer Vision, The MIT Press, Cambridge, MA (1992).

L. Ding, A. Goshtasby, Volume image registration by template matching, Image and Vision Computing, 19(12): pp.821–832 (2001).

Xiangjun Gao, A Level Set Image Segmentation Method Based on Prior Shape Statistical Knowledge, International Review on Computers and Software, Vol. 7 N. 6 (Part C), pp. 3221-3226, 2012.

Yunhua Gu, Peipei Chen, Caisheng Liu, The Algorithm of Preserving the Spatial Location of 3D Image on Android Platform, International Review on Computers and Software, Vol. 7 N. 6 (Part C), pp. 3227-3231, 2012.

B. Triggs, Bundle Adjustment- a Modern Synthesis, Proceedings of the International Workshop on Vision Algorithms, pp.298-372, 1999.

O. Pizarro, H. Singh, “Towards Large Area Mosaicing for Underwater Scientific Applications”. IEEE Journal of Oceanic Engineering: Special Issue on Underwater Image and Video Processing 28(4) (2003): p. 651-672.

M. Brown, D. Lowe, Automatic Panoramic Image Stitching using Invariant Features, International Journal of Computer Vision (2006).

M. Brown, D. Lowe, Recognising Panoramas, Proceedings of the 9th International Conference on Computer Vision, pp.1218-1225, 2003.

M. Brown, R. Szeliski, S. Winder, Multi-Image Matching using Multi-Scale Oriented Patches, Proceedings of the International Conference on Computer Vision and Pattern Recognition, pp. 510-517, 2005.

D. Steedly, C. Pal, R. Szeliski, Efficiently Registering Video into Panoramic Mosaics, Proceedings of the 9th International Conference on Computer Vision, pp. 1300-1307, 2005.

M. Uyttendaele, A. Eden, R. Szeliski, Eliminating Ghosting and Exposure Artifacts in Image Mosaics, Proceedings of the Interational Conference on Computer Vision and Pattern Recognition, pp. 509-516, 2001.

D. Lowe, Distinctive Image Features From Scale-Invariant Keypoints, International Journal of Computer Vision, 60(2), pp. 91-110, 2004.

Li. Lou, Fei-Meng. Zhang, Chen. Xu, Feng. Li, Mo-Gen. Xue Automatic registration of aerial image series using geometric invariance, Proceedings of the IEEE International Conference on automation and logistics Qingdao, China, p.1198–1203 September 2008.

Mai. Zhang, Antai. Guo, Wei. Zhong, Li. Guo, Image stitching of scenes with large misregistration, Proceedings of the IEEE International Conference on Computer Science and Information Technology, p.803–807 September 2008.

Vladan. Rankovng, Rosalind. Locke, Richard. Edens, Paul. Barber, Borivoj. Vojnovic, An algorithm for image stitching and blending, Proceedings of SPIE, vol 570, Three-Dimentional Microscopy: Image Acquisition and processing XII, p.190-199, March 2005.

G. Tozer, S. Ameer-Beg, J. Baker, P. Barber, S. Hill, R. Hodgkiss, R. Locke, V. Prise, I. Wilson, B. Vojnovic, Intravital imaging of tumour vascular networks using multi-photon flourescence microscopy, Advanced Drug Delivery Reviews, 57: pp. 135-152, 2005.

Antonio. Plaza, Jacqueline. Le Moigne, and Nathan S. Netanyahu, Morphological Feature Extraction for Automatic Registration of Multispectral Images, IEEE Transactions Geosciences and Remote Sensing, vol. 43, pp. 421-426, 2007.

Seong Jong Ha, Sang Hwa Lee, Nam Ik Cho, Soo Kyun Kim, Byungjun Son, Embedded Panoramic Mosaic System Using Auto-Shot Interface, IEEE Transactions on Consumer Electronics, Vol. 54, No. 1:p. 16-24, February 2008.

D.-S. Huang, L. Heutte, and M. Loog (Eds.), Feature Based Automatic Stitching of Microscopic Images, ICIC, CCIS 2, pp. 791–800, Springer-Verlag Berlin Heidelberg 2007.


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