نتایج جستجو برای: insar

تعداد نتایج: 2837  

2010
ZHONG LU

We used ALOS InSAR images to study land surface deformation over the Crandall Canyon mine in Utah, which collapsed on 6 August 2007 and killed six miners. The collapse was registered as a ML 3.9 seismic event. An InSAR image spanning the time of the collapse shows 25–30 cm surface subsidence over the mine. We used distributed dislocation sources to model the deformation field, and found that a ...

Journal: :JCP 2014
Yifei Chen Huaping Xu

Speckle noise in interferometric synthetic aperture radar (InSAR) phase images seriously degrades the quality of interferogram, disenables interferogram to reflect accurate phase characteristics of the target and increases the difficulty in extracting DEM information of the target area. Therefore, reducing speckle noise by interferogram filtering is a significant step in InSAR processing. First...

1998
D. L. Galloway K. W. Hudnut S. E. Ingebritsen S. P. Phillips G. Peltzer F. Rogez P. A. Rosen

Interferometric synthetic aperture radar (InSAR) has great potential to detect and quantify land subsidence caused by aquifer system compaction. InSAR maps with high spatial detail and resolution of range displacement (610 mm in change of land surface elevation) were developed for a groundwater basin (;10 km) in Antelope Valley, California, using radar data collected from the ERS-1 satellite. T...

2010
Juliet Biggs Zhong Lu Tom Fournier Jeffrey T. Freymueller

[1] Volcano deformation is usually measured using satellite geodetic techniques including interferometric synthetic aperture radar (InSAR), campaign GPS, and continuous GPS. Differences in the spatial and temporal sampling of each system mean that most appropriate inversion scheme to determine the source parameters from each data set is different. Most studies either compare results from indepe...

2008
Bin Pan Jun Gan

The accuracy of phase unwrapping influences directly the accuracy of DEM in InSAR processing. This paper begins with classifying existing phase unwrapping algorithms based on the principle of phase unwrapping; then error sources of InSAR phase unwrapping are summarized and simulated data has been taken to analyze the influence of error; thirdly, two assessment methods, rewrapping after unwrappi...

2009
T. Hobiger M. Furuya Y. Kinoshita R. Ichikawa Y. Koyama

Highly variable weather conditions, especially the rapidly changing water vapor distribution, bias the interpretation of interferometric synthetic aperture radar (InSAR) images. Any change of atmospheric condition is reflected as differential propagation delay in the InSAR images, which is difficult to distinguish from the real ground motion. Moreover, for areas which cover a wide range of alti...

2009
Y. S. Zhou F. Cao

Abstract—The objective of this paper is to investigate the volume scattering for the vegetation parameter estimation of Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR). Firstly the models for describing the volume scattering are derived from the Pol-InSAR imaging geometry and volume scattering characteristics. The interferometric properties of volume scattering as well as the ...

2007
Ramon Hanssen Roland Klees

Satellite radar interferometry (InSAR) can be applied to study vertically integrated atmospheric refractivity variations with a spatial resolution of 20 m and an accuracy of 2 mm, irrespective of cloud cover or solar illumination. The data are derived from the diierence between the radar signal delay variations within the imaged area during two acquisitions with a temporal separation of one or ...

2006
Antje Thiele Ulrich Thoennessen Erich Cadario Karsten Schulz Uwe Soergel

The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing this technique for analysis of urban areas. However, building reconstruction from SAR or InSAR data suffers from consequences of the inherent oblique scene illumination, such as foreshortening, layover, occlusion by radar shadow and multipath signal propagation. Especially in built-up ar...

2000
Marco van der Kooij

In 1995 Atlantis became involved in value added services using repeat-pass InSAR data. The joint in-house development of the EarthView commercial off-the-shelf (COTS) software and the evolution of InSAR technology for value added services has been a key component to the success and growth of the services. This evolution included the development of robust innovative tools, methods for prediction...

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