Evaluation of Small Displacements in SAR Interferometric Images Based on Stable Point Detection Using Coherence and Amplitude Dispersion Criteria

Document Type : Original Article

Authors

1 Master's student, Yazd University, Yazd, Iran

2 Assistant Professor, Yazd University, Yazd, Iran

3 Ph.D., Yazd University, Yazd, Iran

4 PhD student, Yazd University, Yazd, Iran

5 Associate Professor, Yazd University, Yazd, Iran

Abstract

Detecting displacement using radar is crucial for monitoring the stability of natural phenomena, such as mountain slopes, and artificial structures, like dams and open-pit mine walls, to prevent financial and human risks. Identifying highly stable reference points with minimal displacement is crucial for accurate displacement detection. This identification relies on coherence and amplitude dispersion criteria applied to radar images, making the image formation method a key factor in determining stable points.
This paper compares the effectiveness of two Synthetic Aperture Radar (SAR) imaging methods—the Range-Doppler Algorithm (RDA) and the Back Projection Algorithm (BPA)—in identifying stable points based on various criteria. Practical results are presented for a radar site containing discrete targets. Using a coherence threshold of 0.9, the RDA method yielded an average stable point displacement of 0.18 mm, whereas the BPA method achieved approximately 0.09 mm, indicating superior performance of the BPA method in detecting stable points via the coherence criterion. On the other hand, using the amplitude dispersion criterion to identify stable points, the average displacement of stable points was about 0.015 mm and 0.040 mm for the RDA and BPA methods, respectively.
The results of this research can be effective in selecting the appropriate imaging method in Synthetic Aperture Radar for determining millimeter-scale displacements of targets.

Keywords

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Radar
Volume 11, Issue 2
Serial number 30, Autumn and Winter
January 2024
Pages 107-120

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History

  • Receive Date: 18 October 2023
  • Revise Date: 04 December 2023
  • Accept Date: 11 January 2024
  • Publish Date: 21 January 2024

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