Antenna beam alignment for a spaceborne dual-antenna single-pass interferometric SAR

Analyzing on phase error for single pass interferometric SAR

2002 3rd International Conference on Microwave and Millimeter Wave Technology, 2002. Proceedings. ICMMT 2002. ◽

10.1109/icmmt.2002.1187743 ◽

2003 ◽

Author(s):

Lu Xiaode ◽

Song Fuming ◽

Song Jiajun

Keyword(s):

Phase Error ◽

Single Pass ◽

Interferometric Sar

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Ocean wave imaging using an airborne single pass across-track interferometric SAR

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.898663 ◽

2001 ◽

Vol 39 (1) ◽

pp. 38-45 ◽

Cited By ~ 16

Author(s):

J. Schulz-Stellenfleth ◽

S. Lehner

Keyword(s):

Ocean Wave ◽

Single Pass ◽

Wave Imaging ◽

Interferometric Sar

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Evaluation of Atmospheric Effects on Interferograms Using DEM Errors of Fixed Ground Points

Sensors ◽

10.3390/s18072336 ◽

2018 ◽

Vol 18 (7) ◽

pp. 2336 ◽

Cited By ~ 1

Author(s):

Takashi Nonaka ◽

Tomohito Asaka ◽

Keishi Iwashita

Keyword(s):

Phase Noise ◽

Atmospheric Effects ◽

Sar Images ◽

Single Pass ◽

Digital Elevation ◽

Total Phase ◽

Disaster Monitoring ◽

The Difference ◽

Elevation Model ◽

Interferometric Sar

High-resolution synthetic aperture radar (SAR) data are widely used for disaster monitoring. To extract damaged areas automatically, it is essential to understand the relationships among the sensor specifications, acquisition conditions, and land cover. Our previous studies developed a method for estimating the phase noise of interferograms using several pairs of TerraSAR-X series (TerraSAR-X and TanDEM-X) datasets. Atmospheric disturbance data are also necessary to interpret the interferograms; therefore, the purpose of this study is to estimate the atmospheric effects by focusing on the difference in digital elevation model (DEM) errors between repeat-pass (two interferometric SAR images acquired at different times) and single-pass (two interferometric SAR images acquired simultaneously) interferometry. Single-pass DEM errors are reduced due to the lack of temporal decorrelation and atmospheric disturbances. At a study site in the city of Tsukuba, a quantitative analysis of DEM errors at fixed ground objects shows that the atmospheric effects are estimated to contribute 75% to 80% of the total phase noise in interferograms.

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A model for ocean wave imaging by a single pass cross track interferometric SAR (InSAR)-the SINEWAVE experiment

IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174) ◽

10.1109/igarss.1998.699640 ◽

1998 ◽

Cited By ~ 2

Author(s):

J. Schulz-Stellenfleth ◽

S. Lehner ◽

R. Bamler ◽

J. Horstmann

Keyword(s):

Ocean Wave ◽

Single Pass ◽

Wave Imaging ◽

Interferometric Sar ◽

Cross Track

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Error analysis of DEM derived from airborne single-pass interferometric SAR data

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049951 ◽

2011 ◽

Cited By ~ 1

Author(s):

Zhongchang Sun ◽

Huadong Guo ◽

Xinwu Li ◽

Mengmei Jiao

Keyword(s):

Error Analysis ◽

Single Pass ◽

Sar Data ◽

Interferometric Sar

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Forest Height Estimation Using a Single-Pass Airborne L-Band Polarimetric and Interferometric SAR System and Tomographic Techniques

Remote Sensing ◽

10.3390/rs13030487 ◽

2021 ◽

Vol 13 (3) ◽

pp. 487

Author(s):

Yue Huang ◽

Qiaoping Zhang ◽

Laurent Ferro-Famil

Keyword(s):

Boreal Forests ◽

Test Site ◽

Forest Monitoring ◽

Height Estimation ◽

Pass System ◽

Single Pass ◽

Forest Height ◽

Ping Pong ◽

L Band ◽

Interferometric Sar

This paper addresses forest height estimation for boreal forests at the test site of Edson in Alberta, Canada, using dual-baseline PolInSAR dataset measured by Intermap’s single-pass system. This particular dataset is acquired by using both ping-pong and non-ping-pong modes, which permit forming a dual-baseline TomoSAR configuration, i.e., an extreme configuration for tomographic processing. A tomographic approach, based on polarimetric Capon and MUSIC estimators, is proposed to estimate the elevation of tree top and of underlying ground, and hence forest height is estimated. The resulting forest DTM and DSM over the test site are validated against LiDAR-derived estimates, demonstrating the undeniable capability of the single-pass L-band PolInSAR system for forest monitoring.

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Periscope antenna for a spaceborne single-pass interferometric SAR instrument

2013 IEEE Antennas and Propagation Society International Symposium (APSURSI) ◽

10.1109/aps.2013.6711201 ◽

2013 ◽

Cited By ~ 1

Author(s):

Thomas Fugen ◽

Rainer Klein ◽

Christoph Schaefer ◽

Michael Volker ◽

Jean-Christophe Angevain ◽

...

Keyword(s):

Single Pass ◽

Interferometric Sar

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Robust, Model-Based External Calibration of Multi-Channel Airborne SAR Sensors Using Range Compressed Raw Data

Remote Sensing ◽

10.3390/rs11222674 ◽

2019 ◽

Vol 11 (22) ◽

pp. 2674 ◽

Cited By ~ 2

Author(s):

Marc Jäger ◽

Rolf Scheiber ◽

Andreas Reigber

Keyword(s):

Beam Forming ◽

Raw Data ◽

Single Pass ◽

Robust Model ◽

Antenna Phase ◽

Antenna Phase Center ◽

Delay Variations ◽

Airborne Sar ◽

Interferometric Sar ◽

Calibration Techniques

The paper describes a method for the accurate calibration of multi-channel SAR instruments, such as those required to support SAR polarimetry, single-pass interferometry and digital beam-forming (DBF), on the basis of dedicated SAR acquisitions containing reference targets with known properties. Unlike conventional approaches, the method is based entirely on the analysis of range-compressed raw data. It leverages the pulse-by-pulse analysis of amplitude, phase and delay variations observed within the range histories of reference targets to fully characterize and correct propagation direction dependent calibration issues such as those related to antenna pointing or antenna phase center positions. The fact that the approach does not require SAR image focusing in azimuth is especially relevant in the context of DBF, where individual channels need to be calibrated but are, by themselves, under-sampled. The calibration techniques presented are illustrated and validated using multi-channel polarimetric and single-pass interferometric SAR data acquired by DLR’s airborne F-SAR and DBFSAR instruments.

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