Remote Sensing Image Matching Based on Adaptive Binning SIFT Descriptor

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 10, 2015, Pages 5283-5293

  Sedaghat, Amin ^a   Ebadi, Hamid ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive binning scale invariant feature transform (AB SIFT); image matching; local feature descriptor; uniform robust Hessian affine (URHA)

Indexed keywords

AFFINE TRANSFORMS; ALGORITHMS; FEATURE EXTRACTION; GRAPHIC METHODS; IMAGE CODING; IMAGE RECONSTRUCTION; MATHEMATICAL TRANSFORMATIONS; REMOTE SENSING;

FEATURE EXTRACTION ALGORITHMS; HESSIAN AFFINES; LOCAL FEATURE DESCRIPTOR; LOCAL INVARIANT FEATURES; ORIENTATION HISTOGRAMS; REMOTE SENSING APPLICATIONS; SCALE INVARIANT FEATURE TRANSFORMS; STATE-OF-THE-ART METHODS;

IMAGE MATCHING;

ACCURACY ASSESSMENT; ALGORITHM; AUTOMATION; EXPERIMENTAL STUDY; GEOMETRY; HISTOGRAM; IMAGE ANALYSIS; PHOTOGRAMMETRY; REMOTE SENSING;

EID: 85027930065     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2420659     Document Type: Article

References (49)

1. Z. Liu, J. An, and Y. Jing, "A simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 514-527, Feb. 2012.
2. 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. 4328-4328, Jul. 2014.
3. M. L. Uss, B. Vozel, V. A. Dushepa, V. A. Komjak, and K. Chehdi, "A precise lower bound on image subpixel registration accuracy," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 6, pp. 3333-3345, Jun. 2014.
4. Y. Han, J. Choi, Y. Byun, and Y. Kim, "Parameter optimization for the extraction of matching points between high-resolution multisensor images in urban areas," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5612-5621, Sep. 2014.
5. J. Joglekar, S. S. Gedam, and B. Krishna Mohan, "Image matching using SIFT features and relaxation labeling technique-A constraint initializing method for dense stereo matching," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5643-5652, Sep. 2014.
6. Z. Song, S. Zhou, and J. Guan, "A novel image registration algorithm for remote sensing under affine transformation," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 4895-4912, Aug. 2014.
7. R. Qin, and A. Gruen, "3D change detection at street level using mobile laser scanning point clouds and terrestrial images," ISPRS J. Photogramm. Remote Sens., vol. 90, pp. 23-35, Apr. 2014.
8. J. P. Ardila, W. Bijker, V. A. Tolpekin, and A. Stein, "Multitemporal change detection of urban trees using localized region-based active contours in VHR images," Remote Sens. Environ., vol. 124, pp. 413-426, Sep. 2012.
9. E. G. Parmehr, C. S. Fraser, C. Zhang, and S. Leach, "Automatic registration of optical imagery with 3D LiDAR data using statistical similarity," ISPRS J. Photogramm. Remote Sens., vol. 88, pp. 28-40, Feb. 2014.
10. J. L. Lerma, S. Navarro, M. Cabrelles, A. E. Segui, and D. Hernández, "Automatic orientation and 3D modelling from markerless rock art imagery," ISPRS J. Photogramm. Remote Sens., vol. 76, pp. 64-75, Feb. 2013.
11. M. Favalli, A. Fornaciai, I. Isola, S. Tarquini, and L. Nannipieri, "Multiview 3D reconstruction in geosciences," Comput. Geosci., vol. 44, pp. 168-176, Jul. 2012.
12. S. Ahmadi, M. Zoej, H. Ebadi, H. A. Moghaddam, and A. Mohammadzadeh, "Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours," Int. J. Appl. Earth Observ. Geoinf., vol. 12, no. 3, pp. 150-157, Jun. 2010.
13. N. Ekhtari, M. J. V. Zoej, M. R. Sahebi, and A. Mohammadzadeh, "Automatic building extraction from LIDAR digital elevation models and WorldView imagery," J. Appl. Remote Sens., vol. 3, no. 1, Dec. 2009, Art. ID. 033571.
14. N. Mohammadi and M. Malek, "VGI and reference data correspondence based on location-orientation rotary descriptor and segment matching," Trans. GIS, to be published.
15. P. Xu, L. Zhang, K. Yang, and H. Yao, "Nested-SIFT for efficient image matching and retrieval," IEEE Trans. Multimedia, vol. 20, no. 3, pp. 34-46, Jul.-Sep. 2013.
16. B. Fan, F. Wu, and Z. Hu, "Rotationally invariant descriptors using intensity order pooling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 10, pp. 2031-2045, Oct. 2012.
17. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1615-1630, Oct. 2005.
18. J. Liu, G. Zeng, and J. Fan, "Fast local self-similarity for describing interest regions," Pattern Recognit. Lett., vol. 33, no. 9, pp. 1224-1235, Jul. 2012.
19. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
20. Y. Cui, N. Hasler, T. Thormählen, and H.-P. Seidel, "Scale invariant feature transform with irregular orientation histogram binning," in Image Analysis and Recognition. New York, NY, USA: Springer-Verlag, 2009, pp. 258-267.
21. J. Chen et al., "A partial intensity invariant feature descriptor for multimodal retinal image registration," IEEE Trans. Biomed. Eng., vol. 57, no. 7, pp. 1707-1718, Jul. 2010.
22. H. Bay, A. Ess, T. Tuytelaars, and L. C. Gool, "Speeded-up robust features (SURF)," Comput. Vis. Image Understand., vol. 110, no. 3, pp. 346-359, Jun. 2008.
23. M. Heikkilä, M. Pietikäinen, and C. Schmid, "Description of interest regions with local binary patterns," Pattern Recognit., vol. 42, no. 3, pp. 425-436, Mar. 2009.
24. E. Tola, V. Lepetit, and P. Fua, "Daisy: An efficient dense descriptor applied to wide-baseline stereo," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 5, pp. 815-830, May 2010.
25. Z. Wang, B. Fan, and F. Wu, "Local intensity order pattern for feature description," in Proc. IEEE Int. Conf. Comput. Vis., 2011, pp. 603-610.
26. Z. Huang, W. Kang, Q. Wu, and X. Chen, "A new descriptor resistant to affine transformation and monotonic intensity change," Comput. Vis. Image Understand., vol. 120, pp. 117-125, Mar. 2014.
27. Y. Shu, T. Wang, G. Shao, F. Liu, and Q. Feng, "Robust differential circle patterns based on fuzzy membership-pooling: A novel local image descriptor," Neurocomputing, vol. 144, pp. 378-390, Nov. 2014.
28. M. Calonder et al., "BRIEF: Computing a local binary descriptor very fast," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 7, pp. 1281-1298, Jul. 2012.
29. S. Leutenegger, M. Chli, and R. Y. Siegwart, "BRISK: Binary robust invariant scalable keypoints," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 2548-2555.
30. A. Alahi, R. Ortiz, and P. Vandergheynst, "FREAK: Fast retina keypoint," in Proc. IEEE Conf. CVPR, Jun. 2012, pp. 510-517.
31. X. Xu, L. Tian, J. Feng, and J. Zhou, "OSRI: A rotationally invariant binary descriptor," IEEE Trans. Image Process., vol. 23, no. 7, pp. 2983-2995, Jul. 2014.
32. A. Sedaghat, M. Mokhtarzade, and H. Ebadi, "Uniform robust scaleinvariant feature matching for optical remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4516-4527, Nov. 2011.
33. A. Sedaghat, H. Ebadi, and M. Mokhtarzade, "Image matching of satellite data based on quadrilateral control networks," Photogramm. Rec., vol. 27, no. 140, pp. 423-442, Dec. 2012.
34. A. Sedaghat and H. Ebadi, "Very high resolution image matching based on local features and k-means clustering," Photogramm. Rec., to be published.
35. A. Sedaghat and H. Ebadi, "Accurate affine invariant image matching using oriented least square," Photogramm. Eng. Remote Sens., to be published.
36. G.-R. Cai et al., "Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration," Signal Process., vol. 93, no. 11, pp. 3088-3110, Nov. 2013.
37. Y. Zhang, P. Zhou, Y. Ren, and Z. Zou, "GPU-accelerated large-size VHR images registration via coarse-to-fine matching," Comput. Geosci., vol. 66, pp. 54-65, May 2014.
38. E. Rosten, R. Porter, and T. Drummond, "Faster and better: A machine learning approach to corner detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 1, pp. 105-119, Jan. 2010.
39. E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "ORB: An efficient alternative to SIFT or SURF," in Proc. IEEE Int. Conf. Comput. Vis., 2011, pp. 2564-2571.
40. H. Goncalves, L. Corte-Real, and J. A. Goncalves, "Automatic image registration through image segmentation and SIFT," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 7, pp. 2589-2600, Jul. 2011.
41. Z. Ghassabi, J. Shanbehzadeh, A. Sedaghat, and E. Fatemizadeh, "An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors," EURASIP J. Image Video Process., vol. 2013, no. 1, pp. 1-16, 2013.
42. T. Tuytelaars and K. Mikolajczyk, "Local invariant feature detectors: A Survey," Found. Trends Comput. Graph. Vis., vol. 3, no. 3, pp. 177-280, Jan. 2008.
43. K. Mikolajczyk and C. Schmid, "Scale & affine invariant interest point detectors," Int. J. Comput. Vis., vol. 60, no. 1, pp. 63-86, Oct. 2004.
44. 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.
45. A. Vedaldi and B. Fulkerson, "An Open and Portable Library of Computer Vision Algorithms," 2008. [Online]. Available: http://www.vlfeat.org/
46. 2014. [Online]. Available: http://cvlab.epfl.ch/software/daisy
47. 2014. [Online]. Available: http://www.asl.ethz.ch/people/lestefan/ personal/BRISK
48. K. Mikolajczyk et al., "A comparison of affine region detectors," Int. J. Comput. Vis., vol. 65, no. 1/2, pp. 43-72, Nov.2005.
49. E. Shechtman and M. Irani, "Matching local self-similarities across images and videos," in Proc. IEEE Conf. CVPR, 2007, pp. 1-8.