The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
SAR-SIFT: A SIFT-Like Algorithm for SAR Images
Abstract
The scale-invariant feature transform (SIFT) algorithm and its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images. In this paper, we introduce a SIFT-like algorithm specifically dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes both the detection of keypoints and the computation of local descriptors. A new gradient definition, yielding an orientation and a magnitude that are robust to speckle noise, is first introduced. It is then used to adapt several steps of the SIFT algorithm to SAR images. We study the improvement brought by this new algorithm, as compared with existing approaches. We present an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles.
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · cited 3×
“SURF [28] is obtained by replacing gradient histograms by sums of Haar wavelet responses in vertical and horizontal directions.”
MethodInfluentialA performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723
Scale & Affine Invariant Interest Point Detectors
Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436
PCA-SIFT: a more distinctive representation for local image descriptors
Ke, Y., & Sukthankar, R. (2004) · Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · doi:10.1109/cvpr.2004.1315206 · Cited by 3,237
Feature detection with automatic scale selection
Lindeberg, T. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008045108935 · Cited by 2,541
Cited by
Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching
Ma, W., Wen, Z., Wu, Y., Jiao, L., Gong, M., Zheng, Y., & Liu, L. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2016.2600858 · Cited by 389
A deep learning framework for remote sensing image registration
Wang, S., Quan, D., Liang, X., Ning, M., Guo, Y., & Jiao, L. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.12.012 · Cited by 292
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration
Ma, J., Jiang, J., Zhou, H., Zhao, J., & Guo, X. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2820040 · Cited by 283
A Deep Learning Semantic Template Matching Framework for Remote Sensing Image Registration
Li, L., Han, L., Ding, M., Cao, H., & Hu, H. (2021) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2021.09.012 · Cited by 67
Metadata
- Authors
- Dellinger, F., Delon, J., Gousseau, Y., Michel, J., & Tupin, F.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2015-01
- Volume
- 53
- Issue
- 1
- Pages
- 453-466
- ISSN
- 0196-2892 (ISSN-L)
- 1558-0644
- OpenAlex
- W2030233108
- Cited by
- 634
- References
- 8
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dellinger, F., Delon, J., Gousseau, Y., Michel, J., & Tupin, F. (2015). SAR-SIFT: A SIFT-Like Algorithm for SAR Images. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2014.2323552
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