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

fYear

2013

Firstpage

273

Lastpage

276

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on

Type

conf

Filename

6705067

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3592752