Scale-Invariant Feature Transform-Based Heterogeneous Image Registration Method

Pengnan Liu; Dongdong Xu; Chunmeng Bai

doi:10.3788/LOP202158.2410003

[1] Han J F, Zhang Y. Research on stitching algorithm based on UAV based on aerial photography[J]. Laser & Optoelectronics Progress, 57, 201003(2020).

[2] Xie Z H, Liu J H, Sun H et al. Fast registration of visible light and synthetic aperture radar images[J]. Laser & Optoelectronics Progress, 57, 062803(2020).

[3] Lü K, Wu J. Joint segmentation and registration of medical image based on B-spline and level set method[J]. Laser & Optoelectronics Progress, 57, 101007(2020).

[4] Li J Y, Yang Y H, Wen Q et al. Research on improved SURF breast registration algorithm in multi-mode MRI[J]. Laser & Optoelectronics Progress, 57, 121010(2020).

[5] Wang J. Research of automatic image registration based on SIFT and corner detector[D](2010).

[6] Zhao L Y, Lü B Y, Li X R et al. Multi-source remote sensing image registration based on scale-invariant feature transform and optimization of regional mutual information[J]. Acta Physica Sinica, 64, 124204(2015).

[7] Liu J, Wu H L. A tomography image re-registration algorithm based on frame and gray information[J]. Computer Engineering & Science, 34, 110-114(2012).

[8] Wang L, Gao X, Cui X L et al. 2D/3D rigid registration by integrating intensity distance[J]. Optics and Precision Engineering, 22, 2815-2824(2014).

[9] Liu Z Y, Zhou F G, Bai X Z et al. Multi-mode image registration based on mutual information of region of interests[J]. Aero Weaponry, 7-12(2011).

[10] Ye Y X, Shan J, Peng J W et al. Automated multispectral remote sensing image registration using local self-similarity[J]. Acta Geodaetica et Cartographica Sinica, 43, 268-275(2014).

[11] Wang J X, Zhu Q, Wang W X et al. Straight line extraction algorithm by Hough transform combining edge grouping[J]. Journal of Remote Sensing, 18, 378-389(2014).

[12] Havel J, Herout A, Dubská M. Vanishing points in point-to-line mappings and other line parameterizations[J]. Pattern Recognition Letters, 34, 703-708(2013).

[13] Grompone von Gioi R, Jakubowicz J, Morel J M et al. LSD: a fast line segment detector with a false detection control[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 722-732(2010).

[14] Chen F H, Wang W S. Research on low contrast target detection based on multiwavelets[C]. //2010 Sixth International Conference on Natural Computation, August 10-12, 2010, Yantai, China., 3401-3404(2010).

[15] Xu J J, Zhang Y, Zhang H. Fast image registration algorithm based on improved Harris-SIFT descriptor[J]. Journal of Electronic Measurement and Instrumentation, 29, 48-54(2015).

[16] Zhang F F. Research on object recognition and tracking based on the improved SIFT[D](2015).

[17] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

[18] Mikolajczyk K, Schmid C. A performance evaluation of local descriptors[C]. //2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings, June 18-20, 2003, Madison, WI, USA.(2003).

[19] Yu L, Zhang D R, Holden E J. A fast and fully automatic registration approach based on point features for multi-source remote-sensing images[J]. Computers & Geosciences, 34, 838-848(2008).

[20] Wang W T, Liu P F, Han Z G. Multi source remote sensing image registration method based on SIFT and NCC[J]. Computer Engineering and Applications, 48, 10-12(2012).

[21] Fan B, Huo C L, Pan C H et al. Registration of optical and SAR satellite images by exploring the spatial relationship of the improved SIFT[J]. IEEE Geoscience and Remote Sensing Letters, 10, 657-661(2013).

[22] Xu Q Z, Zhang Y, Li B. Improved SIFT match for optical satellite images registration by size classification of blob-like structures[J]. Remote Sensing Letters, 5, 451-460(2014).

[23] Lu Z L, Ma L H, Chen H. Improved SIFT feature matching algorithm[J]. Journal of Air Force Engineering University (Natural Science Edition), 1, 72-76(2014).

[24] Wu Y, Ma W P, Gong M G et al. A novel point-matching algorithm based on fast sample consensus for image registration[J]. IEEE Geoscience and Remote Sensing Letters, 12, 43-47(2015).

[25] Paul S, Pati U C. Remote sensing optical image registration using modified uniform robust SIFT[J]. IEEE Geoscience and Remote Sensing Letters, 13, 1300-1304(2016).

[26] Xiang Y M, Wang F, Wan L et al. An advanced rotation invariant descriptor for SAR image registration[J]. Remote Sensing, 9, 686-691(2017).

[27] Kupfer B, Netanyahu N S, Shimshoni I. An efficient SIFT-based mode-seeking algorithm for sub-pixel registration of remotely sensed images[J]. IEEE Geoscience and Remote Sensing Letters, 12, 379-383(2015).

[28] Kovesi P. Image features from phase congruency[J]. Videre, 1, 2-27(1999).

[29] Jiang J, Shi X L. A robust point-matching algorithm based on integrated spatial structure constraint for remote sensing image registration[J]. IEEE Geoscience and Remote Sensing Letters, 13, 1716-1720(2016).

[30] Ma W P, Wen Z L, Wu Y et al. Remote sensing image registration with modified SIFT and enhanced feature matching[J]. IEEE Geoscience and Remote Sensing Letters, 14, 3-7(2017).

[31] Wang H L, Wang Y, An R et al. A fast image matching algorithm based on key points[J]. Proceedings of SPIE, 9158, 45-53(2014).

[32] Dellinger F, Delon J, Gousseau Y et al. SAR-SIFT:a SIFT-like algorithm for SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 53, 453-466(2015).