Performance Improvement of SAR Tomography in Urban Scenarios Based on Local-Plane GLRT

2021 
This paper proposes to apply the local-plane model in urban tomography imaging to increase the detection probability and the regularity of the persistent scatterers (PSs). A local-plane generalized likelihood ratio test (LP-GLRT) algorithm is developed, which shows a better adaption to the nonplanar architectures and terrain when compared with the Multi-look GLRT algorithm. Experiments on Terra-SAR images are presented to validate the algorithm.
    • Correction
    • Source
    • Cite
    • Save
    5
    References
    0
    Citations
    NaN
    KQI
    []