Abstract
Using SAR and InSAR technology, artificial corner reflectors (CR) are popular coherent targets for monitoring ground instability with sub-centimeter accuracy in non-urban areas. In this letter, we investigate the performance of a newly designed small dihedral corner reflector for monitoring post-failure creep at the Aniangzhai landslide in Danba County, China. The new double geometry CRs consist of two sets of semi-circular metal plates, each 30-40 cm in radius and perpendicular to each other. Six such CRs are installed for Corner Reflector Interferometric SAR (CR-InSAR) analysis using both TerraSAR-X (TSX) High-resolution Spotlight (HS) data and medium-resolution Sentinel-1 (S1) SAR images. The CRs are first identified in SAR images using a probability model by taking into three factors. These are (1) inverse of amplitude dispersion, (2) intensity increment after the installation, (3) an upper empirical bound derived from the ensemble average of pixel intensities in post-deployment SAR images. Experimental results show that the CRs improve the background intensity in TSX images by around 30 dB, with signal-to-clutter ratio (SCR) exceeding 25 dB. Furthermore, the radar cross-section (RCS) of CRs in both TSX and S1 images remains relatively stable, ranging from 15 dB to 23 dB, making them suitable for CR-InSAR analysis using double-difference phase observations.
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