A Phase-Offset Estimation Method for InSAR DEM Generation Based on Phase-Offset Functions

نویسندگان

  • José Claudio Mura
  • Muriel Pinheiro
  • Rafael Rosa
  • João Roberto Moreira
چکیده

This paper presents a novel method for estimating the absolute phase offset in interferometric synthetic aperture radar (SAR) measurements for digital elevation model (DEM) generation. The method is based on “phase-offset functions (POF),” relating phase offset to topographic height, and are computed for two different overlapping interferometric data acquisitions performed with considerably different incidence angles over the same area of interest. For the purpose of extended mapping, opposite viewing directions are preferred. The two “phase-offset functions” are then linearly combined, yielding a “combined phase-offset function (CPOF)”. The intersection point of several straight lines (CPOFs), corresponding to different points in the overlap area allows for solving the phase offset for both acquisitions. Aiming at increasing performance and stability, this intersection point is found by means of averaging many points and applying principal component analysis. The method is validated against traditional phase offset estimation with corner reflectors (CR) using real OrbiSAR-1 data in Xand P-band.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Novel Method for Estimation of The Fundamental Parameters of Distorted Single Phase Signals

This paper proposes a new method for parameter estimation of distorted single phase signals, through an improved demodulation-based phase tracking incorporated with a frequency adaptation mechanism. The simulation results demonstrate the superiority of the proposed method compared to the conventional SOGI (Second-Order Generalized Integrator)-based approach, in spite of the dc-offset and harmon...

متن کامل

Phase-Offset Calculation for InSAR DEM Generation Without Using Ground Control Points

Synthetic Aperture Radar (SAR) is a microwave remote sensing sensor, which can be mounted either on spaceborne or airborne systems and allows night and day and all-weather imaging. Use of interferometric SAR systems (which consist of two SAR antennas pointing to the same area from slightly different view angles) allows the generation of Digital Elevation Models (DEMs) by means of the so-called ...

متن کامل

ALOS−PalSAR Pol−InSAR Data Analysis: First Results

This paper presents a first calibration and quality analysis of Pol−InSAR data acquired by the ALOS−PalSAR based on deterministic and extended scatterers. The calibration of Pol−InSAR data requires the estimation and compensation of polarimeteric and interferometric system and propagation (through the ionosphere and atmosphere) induced distortions. Constant phase errors/offsets appear in the po...

متن کامل

Radargrammetry and Interferometry Sar for Dem Generation

Digital elevation models (DEMs) can be generate by interferometric SAR (InSAR) and radargrammetry techniques from different positions of Synthetic Aperture Radar (SAR) images. Radar imaging systems record both the phase (or time) and intensity information of the backscattered signals. InSAR utilises the phase information of the images to extract useful geodetic information, such as the height o...

متن کامل

Optical and Radar Data Fusion for Dem Generation

This paper presents a DEM generation procedure based on optical (SPOT stereo) and radar (InSAR, interferometric SAR) data. The first part of the paper is focused on InSAR. The second one is concerned with the integration of optical and radar data. Two levels of integration are proposed: the SPOT data can support the InSAR procedure (in particular phase unwrapping) and the SPOT and InSAR data ca...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Remote Sensing

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2012