The statistical property of prominent points in SAR interferometry is discussed after the derivation of the probability
density function of Hermitian product of two correlated Rican class SAR signals. A simple processing strategy is then
provided for better phase filtering performance based on prominent point index. The validity of the proposed method is
demonstrated by SIR-C/X-SAR data. Our initial results show the advantage of such algorithm over conventional ones.
Accurate co-registration of synthetic aperture radar (SAR) images is essential for SAR interferometric applications such
as along track interferometry (ATI) and across track interferometry (XTI). In this paper, we present a non-linear and
linear joint algorithm for the SAR image co-registration which could be used in highly rugged terrain. First, a slave
image transformation is performed by a non-linear mapping which is based on free available SRTM (Shuttle Radar
Topography Mission) DEM (Digital Elevation Models) and orbit parameters of both tracks to correct the distortions
related to different view angles. Second, we calculate linear offsets between master image and transformed slave image
with ordinary correlation based method to correct the offsets related to orbital errors. Our initial results show the
effectiveness of such algorithm in co-registering critical SAR images.