Quality assessment of SAR interferometric data (ITC publication)

  • 141 Pages
  • 3.63 MB
  • English
Evaluation, Interferometry, Method
The Physical Object
FormatUnknown Binding
ID Numbers
Open LibraryOL12846737M
ISBN 109061641551
ISBN 139789061641551

Description Quality assessment of SAR interferometric data (ITC publication) FB2

Quality assessment of SAR interferometric data. / Gens, R. Enschede: International Institute for Geo-Information Science and Earth Observation, Research output: Thesis › PhD Thesis - Research external, graduation external. Interferometric synthetic aperture radar, abbreviated InSAR (or deprecated IfSAR), is a radar technique used in geodesy and remote geodetic method uses two or more synthetic aperture radar (SAR) images to generate maps of surface deformation or digital elevation, using differences in the phase of the waves returning to the satellite or aircraft.

Quality assessment of sar interferometric data The paper is illustrated by examples of SAR interferometric data and derived products from the ESA ERS Author: Ravi P. Gupta. Title: Quality assessment of SAR interferometric data: Series: ITC Dissertation, ITC: Author: Gens, R. Thesis advisor: van Genderen, J.L.

Publisher: Faculty of. Scene inversion suffers from this high ambiguity and requires SAR data taken at different wavelength, polarization, time, incidence angle, etc. Interferometric SAR (InSAR) exploits the phase. SLCs are intended for use in SAR quality assessment, calibration, and applications requiring the phase TSX data are delivered as Single Look Slant Range Complex for high-accuracy Quality assessment of SAR interferometric data book applications.

SAR-EDU>Data processing>SAR Specific Data Formats>January Multi-looking Multi-looking is averaging over range and/or azimuth.

Introduction. The GRaphical Electromagnetic COmputing SAR (GRECOSAR) simulation tool has been developed at UPC [1, 2].The possibility to process any complex geometry within flexible and totally controlled scenarios has provided a new benchmark for carrying out a set of SAR research activities that are difficult to be done with real by: 9.

Synthetic Aperture Radar basics Introduction Synthetic Aperture Radar (SAR) is a microwave imaging system. It has cloud-penetrating capabilities because it uses microwaves.

It has day and night operational capabilities because it is an active system. Finally, its ‘interferometric configuration’, Interferometric SAR or InSAR, allows.

Synthetic aperture radar interferometry R3 Figure 1. SAR imaging geometry. Frequently used terms are ‘along-track’ or ‘azimuth’ for x, ‘ground range’ for y, and ‘slant range’ for the distance of a particular point from the SAR sensor.

a considerable amount of signal processing for. Data set description The SAR data used in this study are all night-time passes of two ERS1/2 tandem and two ERS2 day repeat passes over St Albans.

The location of the frames are shown in Figure 1 over a coarser DEM and basic parameters given for each data-set are shown in Table 1. This test area covers a part of the M25 motorway and large. Synthetic Aperture Radar (SAR) is a microwave imaging system. It has cloud penetrating capabilities because it uses microwaves; it has day and night operational capabilities because it is an active system; and its ‘interferometric configuration’, Interferometric SAR or InSAR, allows accurate measurements of the radiation travel path because it is coherent.

Land subsidence is a common natural hazard striking extensive areas worldwide, with severe impacts on economy and environment. Subsidence has been recognized as one of geohazards needing research efforts and knowledge transfer at international level, especially when urban fabrics and infrastructures are directly involved in the land settling.

Policies and solutions for land subsidence Cited by: interferometric SAR (Synthetic Aperture Radar) technique, DInSAR. The first one concerns an important infrastructure: the main dike of a Port, while the second one regards a group of buildings in an urban area.

Since its first demonstration in [1], DInSAR has been successfully used in a wide range of deformation monitoring applications. Interferometric Synthetic Aperture Radar (InSAR) is a new measurement technology, making use of the phase information contained in the Synthetic Aperture Radar (SAR) images.

InSAR has been recognized as a potential tool for the generation of digital elevation models (DEMs) and the measurement of ground surface deformations. However, many critical factors affect the quality of InSAR data and Cited by: 6.

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Adam, N., M. Eineder, H. Breit, and S. Suchandt (). Quality of the D-PAF ERS orbits before and after the inclusion of PRARE data. 2nd International Workshop on ERS SAR Interferometry, “FRINGE99”, Liege, Belgium, November 10– Google Scholar.

We are in particular funded by ESA for the quality assessment of SAR radars onboard ERS-1, ERS-2, Envisat and Sentinel-1 missions.

Details Quality assessment of SAR interferometric data (ITC publication) EPUB

The following subsections provides quality information and resources for these missions. quality assessment monthly bulletin for ERS-1 SAR in wave mode (), L1 and L2 data reprocessed by CERSAT for ESA.

Publication list Thesis, book chapters, manuals and reports Gens, R., GNSS Remote Sensing: Theory, Methods and Applications (by J. Shuanggen. verifying the quality of interferometric SAR data.

Polarimetric SAR data can be used for estimating both range and azimuth slopes [3]. When polarimetric data are collected with interferometric data simultaneously, the slopes independently derived from interferometric SAR data can be used for evaluating the polarimetric calibration Size: 29KB.

Airborne Interferometric SAR Processor In order to obtain the highest achievable resolution of the system, accurate data processing must be performed along all processing steps, from the motion compensation (i.e. to compensate aircraft motion irregularities) to the geocoding of the height data. Satellite SAR Interferometry (InSAR) is a powerful technique for the estimation of multi-temporal surface deformation processes.

One of the greatest value and peculiarity of Satellite InSAR technology is the capability to perform historical displacement analysis, thanks to the historical archives of imagery available since Furthermore, the features of the new generation of satellites.

where Δϕsnow is the interferometric phase (rad), λ the in vacuum wavelength(m), δz = z2 – z1 (m) corresponds to the change in the snow depth, z, between SAR data acquisition 1 and 2, θ is the local incidence angle, and ε is the snow permittivity, the physical parameter responsible for refraction and corresponding to the square of the Cited by: Part 9 Spotlight processing applications: spotlight processing of scan and stripmap SAR data-- interferometric SAR-- forward look SAR-- vibrating target detection.

Part 10 Range migration algorithm: model-- algorithm overview-- analytical development-- discussion-- efficient algorithms for. EE/Ge b, Week 3 3 - 23 Shuttle Radar Topography Mission Objectives • Acquire a C-band radar interferometric data set sufficient for the production of digital topographic of the Earth’s landmass accessible from a 57° inclination orbit.

• Acquire ancillary data (position, attitude, radar performance and calibration) sufficient. A statistical analysis of the interferometric coherence and SAR backscattering variation of Canadian wetlands, which are ignored in the literature, is carried out using multi -temporal, multi frequency, and multi polarization SAR data.

The study also examines the capability of compact polarimetry (CP) SAR data, which will beFile Size: 6MB. 2,3). An advanced motion compensation module is also available for processing of airborne SAR data.

Figure 1. ERS-1 Death Valley: The GAMMA Modular SAR Processor (MSP) rapidly processes full frames to full resolution and includes programs for the assessment of data quality and processing parameters.

Raw data courtesy of ESA. Processing by GAMMA. SAR interferometric phase: ground motion contribution If a scatterer on the ground slightly changes its relative position in the time interval between two SAR acquisitions (e.g. subsidence, landslide, earthquake ), an additive phase term, independent of the baseline, appears.

This chapter provides an overview of the possibility to derive paddy rice plant heights with spaceborne bistatic SAR interferometry (InSAR).

By using the only available interferometer in space, TanDEM-X, an investigation of rice crops located in Turkey is performed. Before analyzing the main outcomes, an introduction to the generation of elevation models with InSAR is provided, with a special Author: Cristian Rossi.

Vegas to validate this algorithm. Test data in cities of China will be implemented in the next step of our research. PHASE MODEL In the interferometric SAR data processing, the interferograms are generated by combining two complex SAR images, the interferometric phase observation per resolution cell is composed by a number of contributors [5].

Synthetic-aperture radar (SAR) is a form of radar that is used to create two-dimensional images or three-dimensional reconstructions of objects, such as landscapes.

SAR uses the motion of the radar antenna over a target region to provide finer spatial resolution than conventional beam-scanning radars.

SAR is typically mounted on a moving platform, such as an aircraft or spacecraft, and has its. Interferometric Synthetic Aperture Radar (InSAR) is a geodetic technique that can identify movements of the Earth's surface.

Observations of surface movement made using InSAR can be used to detect, measure, and monitor crustal changes associated with geophysical processes such as tectonic activity and volcanic eruptions. Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data data, which, according to several simulation tests, may provide promising performance in real and mode with polarimetric and interferometric capabilities.

Its processing efficiency is high and onlyCited by: 9.Coherence estimation in synthetic aperture radar data polarimetric and interferometric SAR data illustrate and validate both, the coherence model and the phase unwrapping,15 DEMs quality assessment,16 or assessment of the SAR system itself All the techniques listed in .GAMMA SAR AND INTERFEROMETRY SOFTWARE 2 7 System Overview The GAMMA Modular SAR Processor (MSP), Interferometric SAR Processor (ISP), Differential Interferometry and Geocoding Software (DIFF&GEO), Land Application Tools (LAT), and Interferometric Point Target Analysis (IPTA) are modular software packages useful to process synthetic aperture radar (SAR) Size: 1MB.