Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 623-627, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-623-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 623-627, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-623-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

A SAR IMAGE REGISTRATION METHOD BASED ON SIFT ALGORITHM

W. Lu1,2, X. Yue2,3, Y. Zhao2,3, and C. Han2,3 W. Lu et al.
  • 1College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100149, China
  • 2Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
  • 3Department of Airborne remote sensing, Sanya Institute of Remote Sensing, Sanya, 572029, China

Keywords: image registration, scale-invariant feature transform (SIFT), Wallis filtering, adaptive smoothing, image filtering

Abstract. In order to improve the stability and rapidity of synthetic aperture radar (SAR) images matching, an effective method was presented. Firstly, the adaptive smoothing filtering was employed for image denoising in image processing based on Wallis filtering to avoid the follow-up noise is amplified. Secondly, feature points were extracted by a simplified SIFT algorithm. Finally, the exact matching of the images was achieved with these points. Compared with the existing methods, it not only maintains the richness of features, but a-lso reduces the noise of the image. The simulation results show that the proposed algorithm can achieve better matching effect.