Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1333-1338, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1333-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1333-1338, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1333-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

RESEARCH ON A DEM COREGISTRATION METHOD BASED ON THE SAR IMAGING GEOMETRY

Y. Niu1, C. Zhao1,2, J. Zhang1,2, L. Wang1,2, B. Li3, and L. Fan1 Y. Niu et al.
  • 1College of Geology Engineering and Geomatics, Chang’an University, 710054 Xian, China
  • 2Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xian, China
  • 3Institute of Geomechanics, Chinese Academy of Geological Science, Beijing, China

Keywords: DEM Coregistration, DEM Intensity Simulation, Cross-correlation, 2D Polynomial Fitting

Abstract. Due to the systematic error, especially the horizontal deviation that exists in the multi-source, multi-temporal DEMs (Digital Elevation Models), a method for high precision coregistration is needed. This paper presents a new fast DEM coregistration method based on a given SAR (Synthetic Aperture Radar) imaging geometry to overcome the divergence and time-consuming problem of the conventional DEM coregistration method. First, intensity images are simulated for two DEMs under the given SAR imaging geometry. 2D (Two-dimensional) offsets are estimated in the frequency domain using the intensity cross-correlation operation in the FFT (Fast Fourier Transform) tool, which can greatly accelerate the calculation process. Next, the transformation function between two DEMs is achieved via the robust least-square fitting of 2D polynomial operation. Accordingly, two DEMs can be precisely coregistered. Last, two DEMs, i.e., one high-resolution LiDAR (Light Detection and Ranging) DEM and one low-resolution SRTM (Shutter Radar Topography Mission) DEM, covering the Yangjiao landslide region of Chongqing are taken as an example to test the new method. The results indicate that, in most cases, this new method can achieve not only a result as much as 80 times faster than the minimum elevation difference (Least Z-difference, LZD) DEM registration method, but also more accurate and more reliable results.