SAR Image Change Detection Using SURF Algorithm

Seo Li Kang, Woo Kyung Lee


With the advent of high-resolution Synthetic Aperture Radar (SAR), applications of satellite SAR have a growing interest in this field and change detection is of high interest in both military and civil applications. Change detection techniques have attracted increased attentions and become a topic of major research. In change detection procedure, geometrical correction of image is essential for effective remote sensing applications. Unlike optical sensor, the geometrical correction of SAR images is highly complicated due to the signal interaction within the complex geometrical properties of the target structures and the inherent speckle noise. In this paper, we present an advanced yet efficient geometrical correction method that may be applied to multi-resolution satellite SAR images. For this purpose, SURF(Speeded-Up Robust Feature) is adopted and modified so as to make it fully applicable to SAR images. KI thresholding technique is constructed and applied to multi-SAR images to verify the performance.


  1. H. Bay, T. Tuytelaars, and L. V. Gool, “SURF : Speeded Up Robust Features”, European Conference on Computer Vision, Vol. 3951, pp. 404-417, 2006
  2. Kim, T. and Im, Y “Automatic satellite image registration by combination of matching and random sample consensus”, IEEE Trans. on Geoscience and Remote Sensing, Vol. 41, No. 5, pp. 1111-1117, 2003
  3. Goshtasby, A. A., “2-D and 3-D image registration - for medical, remote sensing, and industrial applications”, John Wiley & Sons Inc., New York, pp. 4-5, 2005.
  4. B. Zitova and J. Elusser, “Image registration methods: a survey”, Image and Vision Computing 21, pp. 977- 1000, 2003
  5. Flora Dellinger, Julie Delon, Yann Gousseau, Julen Michel and Florence Tupin, “SAR-SIFT: A SIFTLIKE ALGORITHM FOR SAR IMAGES”, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, pp. 3478 - 3481, 2012.
  6. Mark D Pritt, Kevin J LaTourette, “Automated Registration of Synthetic Aperture Radar Imagery to LiDAR, IGARSS 2011, July 2011.
  7. T. Lindeberg, “Feature detection with automatic scale selection”, International Journal of Computer Vision, Vol. 30, No.3, PP. 79-116, 1998
  8. Kittler, J. and Illingworth, J., 'Minimum error thresholding', Pattern recognition 19(1), 41-47.1986
  9. Sezgin, M. et al. 'Survey over image thresholding techniques and quantitative performance evaluation', Journal of Electronic imaging 13(1), 146-168. 2004
  10. Y.MURALE., 'Image Mosaic Using Speeded Up Robust Feature Detection', International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 1, Issue 3, September 2012
  11. Ryo Mitsumori, Hideaki Uchiyama, Hideo Saito, Myriam Servieres, and Guillaume Moreau, 'Change Detection Based on SURF and Color Edge Matching', Proc.ACCV, 2009
  12. Kamel Besbes Rochdi Bouchiha, 'Automatic RemoteSensing Image Registration Using SURF', International Journal of Computer Theory and Engineering, Vol. 5, No. 1, February 2013
  13. Woo-Kyung Lee and Ah-Leum Kim, 'An Efficient Automatic Geo-Registration Technique for High Resolution Spaceborne SAR Image Fusion', IGASS 2011, July, 2011
  14. KyungSeung Lee, Daehoon Kim, Seungmin Rho and Eenjun Hwang, 'Improving Matching Performance of SURF Using Color and Relative Position', The Korea Navigation Institute, Vol.16., No.2, April, 2012
  15. Smith, J., 1998. The book, The publishing company. London, 2nd edition.

Paper Citation

in Harvard Style

Kang S. and Lee W. (2014). SAR Image Change Detection Using SURF Algorithm . In Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-033-8, pages 68-73. DOI: 10.5220/0005421400680073

in Bibtex Style

author={Seo Li Kang and Woo Kyung Lee},
title={SAR Image Change Detection Using SURF Algorithm},
booktitle={Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},

in EndNote Style

JO - Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - SAR Image Change Detection Using SURF Algorithm
SN - 978-989-758-033-8
AU - Kang S.
AU - Lee W.
PY - 2014
SP - 68
EP - 73
DO - 10.5220/0005421400680073