A coherence optimization method, which makes use of polarimetry to enhance
the quality of SAR interferograms, has been experimentally tested under lab
oratory conditions in an anechoic chamber. By carefully selecting the polar
ization in both images, the resulting interferogram exhibits an improved co
herence above the standard HH or VV channel, This higher coherence produces
a lower phase variance, thus estimating the underlying topography more acc
urately. The potential improvement that this technique provides in the gene
ration of digital elevation models (DEM) of non-vegetated natural surfaces
has been observed for the first time on some artificial surfaces created wi
th gravel. An experiment on a true outdoor DEM has not been accomplished ye
t, but the first laboratory results show that the height error for an almos
t planar surface can be drastically reduced within a wide range of baseline
s by using the optimization algorithm. This algorithm leads to three possib
le interferograms associated with statistically independent scattering mech
anisms. The phase difference between those interferograms has been employed
for extracting the height of vegetation samples. This retrieval technique
has been tested on three different samples: maize, rice, and young fir tree
s. The inverted heights are compared with ground truth for different freque
ncy bands. The estimates are quite variable with frequency, but their compl
ete physical justification is still in progress. Finally, an alternative si
mplified scheme for the optimization is proposed. The new approach (called
polarization subspace method) yields suboptimum results but is more intuiti
ve and has been used for illustrating the working principle of the original
optimization algorithm.