Title :
SAR interferometric phase and skew fractional Brownian motion model
Author :
Danudirdjo, D. ; Hirose, Akira
Author_Institution :
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
Abstract :
This paper introduces skew fractional Brownian motion (sfBm) as a discrete stochastic process that models InSAR elevation data. First, we consider fBm topography and SAR sampling geometry to obtain the sfBm model. Next, we describe a method to estimate Hurst parameter of the fBm topography from the sfBm elevation data. Last, we present some experimental results with simulated and actual data that verify the use of sfBm to model InSAR elevation data.
Keywords :
Brownian motion; geophysical signal processing; radar interferometry; remote sensing by radar; synthetic aperture radar; topography (Earth); InSAR elevation data; SAR interferometric phase; discrete stochastic process; fBm topography; sampling geometry; skew fractional Brownian motion model; Brownian motion; Data models; Maximum likelihood estimation; Standards; Surface topography; Synthetic aperture radar;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
