InSAR Signal and Data Processing

Sensors ◽

10.3390/s20133801 ◽

2020 ◽

Vol 20 (13) ◽

pp. 3801

Author(s):

Mengdao Xing ◽

Zhong Lu ◽

Hanwen Yu

Keyword(s):

Data Processing ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

New Techniques ◽

Recent Advances ◽

We present here the recent advances in exploring new techniques related to interferometric synthetic aperture radar (InSAR) signal and data processing and applications.

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Recent Advances in Synthetic Aperture Radar Data Processing and Application

International Journal of Antennas and Propagation ◽

10.1155/2013/231560 ◽

2013 ◽

Vol 2013 ◽

pp. 1-1

Author(s):

Gui Gao ◽

Deren Li ◽

Alejandro C. Frery

Keyword(s):

Data Processing ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Synthetic Aperture Radar Data ◽

Recent Advances ◽

Radar Data Processing ◽

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High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.128-129.138 ◽

2011 ◽

Vol 128-129 ◽

pp. 138-141

Author(s):

Song Tao Han ◽

Ge Shi Tang ◽

Yong Fei Mao ◽

Lue Chen ◽

Mei Wang

Keyword(s):

Data Processing ◽

Synthetic Aperture Radar ◽

Large Scale ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Processing Methods ◽

X Band ◽

System Data ◽

Data Processing Methods ◽

Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity of the algorithm.

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Recent Advances in Synthetic Aperture Radar Remote Sensing—Systems, Data Processing, and Applications

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2017.2747602 ◽

2017 ◽

Vol 14 (11) ◽

pp. 2013-2016 ◽

Author(s):

Hongbo Sun ◽

Masanobu Shimada ◽

Feng Xu

Keyword(s):

Remote Sensing ◽

Data Processing ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Radar Remote Sensing ◽

Sensing Systems ◽

Recent Advances ◽

Remote Sensing Systems ◽

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Applied Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric Synthetic Aperture Radar Systems

AIAA SPACE 2014 Conference and Exposition ◽

10.2514/6.2014-4283 ◽

2014 ◽

Author(s):

Basil A. Massinas ◽

Anastasios Doulamis ◽

Nikolaos Doulamis ◽

Demitris Paradissis

Keyword(s):

Synthetic Aperture Radar ◽

Optimal Estimation ◽

Synthetic Aperture ◽

Ionospheric Disturbances ◽

Interferometric Synthetic Aperture Radar ◽

Radar Systems ◽

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Detection and measurement of land subsidence using global positioning system and Interferometric Synthetic Aperture Radar, Coachella Valley, California, 1998-2000

10.3133/wri024239 ◽

2002 ◽

Keyword(s):

Synthetic Aperture Radar ◽

Global Positioning System ◽

Land Subsidence ◽

Synthetic Aperture ◽

Positioning System ◽

Interferometric Synthetic Aperture Radar ◽

Coachella Valley ◽

Global Positioning ◽

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Fast interferometric synthetic aperture radar deformation parameter estimation method based on time difference baseline set

Electronics Letters ◽

10.1049/el.2019.1759 ◽

2019 ◽

Vol 55 (19) ◽

pp. 1059-1061 ◽

Author(s):

Feiyang Xue ◽

Xiaolei Lv ◽

Jili Yuan ◽

Ye Yun

Keyword(s):

Parameter Estimation ◽

Synthetic Aperture Radar ◽

Deformation Parameter ◽

Estimation Method ◽

Time Difference ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Parameter Estimation Method ◽

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Detection of aquifer system compaction and land subsidence using interferometric synthetic aperture radar, Antelope Valley, Mojave Desert, California

Water Resources Research ◽

10.1029/98wr01285 ◽

1998 ◽

Vol 34 (10) ◽

pp. 2573-2585 ◽

Author(s):

D. L. Galloway ◽

K. W. Hudnut ◽

S. E. Ingebritsen ◽

S. P. Phillips ◽

G. Peltzer ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Land Subsidence ◽

Mojave Desert ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Aquifer System ◽

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Removal of systematic seasonal atmospheric signal from interferometric synthetic aperture radar ground deformation time series

Geophysical Research Letters ◽

10.1002/2014gl061307 ◽

2014 ◽

Vol 41 (17) ◽

pp. 6123-6130 ◽

Author(s):

Sergey V. Samsonov ◽

Alexander P. Trishchenko ◽

Kristy Tiampo ◽

Pablo J. González ◽

Yu Zhang ◽

...

Keyword(s):

Time Series ◽

Synthetic Aperture Radar ◽

Ground Deformation ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

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Global compilation of interferometric synthetic aperture radar earthquake source models: 2. Effects of 3-D Earth structure

Journal of Geophysical Research Atmospheres ◽

10.1029/2010jb008132 ◽

2011 ◽

Vol 116 (B8) ◽

Author(s):

A. M. G. Ferreira ◽

J. Weston ◽

G. J. Funning

Keyword(s):

Synthetic Aperture Radar ◽

Earthquake Source ◽

Synthetic Aperture ◽

Earth Structure ◽

Interferometric Synthetic Aperture Radar ◽

Source Models ◽

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Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations

Journal of Geophysical Research Atmospheres ◽

10.1002/2014jd022419 ◽

2015 ◽

Vol 120 (4) ◽

pp. 1391-1403 ◽

Author(s):

Fadwa Alshawaf ◽

Stefan Hinz ◽

Michael Mayer ◽

Franz J. Meyer

Keyword(s):

Water Vapor ◽

Synthetic Aperture Radar ◽

Atmospheric Water Vapor ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Atmospheric Water ◽

Gnss Observations ◽

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