All right reserved. Multitemporal Synthetic Aperture Radar Interferometry (MT-InSAR) technique for the distributed scatterers (DSs) has been widely developed since 2010. The main limitations of this technique in the current state are high computing burden and the difficulty to define DSs with a suitable threshold. In this paper, we present a novel framework of data processing of radar interferometry for DSs. Compared with the state-of-the-art, the significant advantage of the new method is its low computing burden with high self-adaptability, and improved DSs density without loss of resolution. Besides, the DS candidates are selected according to the statistics of spatial sample coherence magnitude rather than the empirical threshold. The real SAR dataset over Lost Hillsoil field, California, is used to demonstrate the value of our method.
- Distributed scatterer
- Fast homogeneous statistically pixels selection
- Interferometric synthetic aperture radar (InSAR)
- Time series
ASJC Scopus subject areas
- Geochemistry and Petrology