TY - JOUR

T1 - Performance analysis of dihedral corner reflectors for slope movements

T2 - a case study from Aniangzhai landslide in China

AU - Xia, Zhuge

AU - Motagh, Mahdi

AU - Li, Tao

PY - 2022/11/7

Y1 - 2022/11/7

N2 - 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.

AB - 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.

KW - Clutter

KW - Corner reflector (CR)

KW - Monitoring

KW - Radar cross-section (RCS)

KW - Radar cross-sections

KW - Radar polarimetry

KW - SAR Interferometry (InSAR)

KW - Satellite remote sensing

KW - Satellites

KW - Sentinel-1 (S1)

KW - Signal-to-clutter ratio (SCR)

KW - Synthetic aperture radar

KW - Terrain factors

KW - TerraSAR-X (TSX)

UR - http://www.scopus.com/inward/record.url?scp=85141624015&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2022.3220649

DO - 10.1109/LGRS.2022.3220649

M3 - Article

AN - SCOPUS:85141624015

VL - 19

SP - 1

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

M1 - 4515605

ER -