Paper Info
Title
Use of scaling information for stochastic atmospheric absolute phase screen retrieval
Abstract
Scaling information is an important tool for the description of natural processes. Many applications of SAR (differential) interferometry lead to a set of sparse phase measurements, e.g. the monitoring of permanent scatterers. In this case, the atmospheric phase screen component of a given SAR image can be estimated over the PS sparse grid. Usually such data have to be unwrapped and then interpolated on a regular grid. We investigate the utility of the scaling information, valid for atmospheric phase screen data, in the process of unwrapping a set of sparse measurements. We show how the power-law behaviour of the data variogram can be used as an a priori constraint for optimization through techniques such as simulated annealing. The results are interpreted in view of operational applications to real data.
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1026235
IGARSS
Keywords
Field
DocType
geophysical techniques,radar theory,remote sensing by radar,synthetic aperture radar,terrain mapping,insar,ps sparse grid,sar,sar image,sar interferometry,atmospheric phase screen,geophysical measurement technique,land surface,permanent scatterers,radar remote sensing,scaling data,sparse phase measurements,stochastic atmospheric absolute phase screen retrieval,unwrapped,unwrapping,interferometry,simulated annealing,atmospheric modeling,information retrieval,sparse grids,power law,scattering,constraint optimization,stochastic processes
Simulated annealing,Absolute phase,Computer vision,Regular grid,Computer science,Synthetic aperture radar,Remote sensing,Feature scaling,Artificial intelligence,Sparse grid,Scaling,Constrained optimization
Conference
Volume
Citations 
PageRank 
3
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Alberto Refice14612.80
Fabio Bovenga27019.41
Sebastiano Stramaglia316918.42
Domenico Conte421.66