RADARSAT-2 calibration: proposed targets and techniques

Luscombe, A.P.; Thompson, Alison

doi:10.1109/igarss.2001.976201

Cited by 13 publications

(11 citation statements)

References 1 publication

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“…The estimates are derived from SAR images acquired over rainforest in the Amazon basin, Brazil. Amazon rainforest is in general a homogeneous scatterer [11] (see Figure 3a) and the pattern shape is clearly visible in the uncorrected SAR image data (compare Figure 1).…”

Section: A Measurement Evaluation Techniques 1) Elevation Pattern Evmentioning

confidence: 92%

TerraSAR-X Antenna Calibration and Monitoring Based on a Precise Antenna Model

Bachmann

Schwerdt

Bräutigam

2010

IEEE Trans. Geosci. Remote Sensing

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The high flexibility and tight accuracy requirements of modern spaceborne SAR systems require innovative technologies to calibrate and process the SAR images. To perform accurate pattern correction during SAR processing, an antenna model can be used to derive the multitude of different antenna beams generated by active antenna steering. The application of such an antenna model could be successfully demonstrated for the TerraSAR-X mission, launched in 2007. The methodology and the results of the in-orbit verification with an achieved accuracy of better than ±0.2 dB is reviewed in this paper in detail showing its outstanding accuracy. Additionally, the results of the antenna pattern long term monitoring are described pointing out the high stability of the system Index Terms-Active antenna calibration, antenna modelling, TerraSAR-X calibration Flight direction / azimuth Range / Elevation Flight direction / azimuth Range / Elevation Uncorrected image After antenna pattern correction

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Section: A Measurement Evaluation Techniques 1) Elevation Pattern Evmentioning

confidence: 92%

TerraSAR-X Antenna Calibration and Monitoring Based on a Precise Antenna Model

Bachmann

Schwerdt

Bräutigam

2010

IEEE Trans. Geosci. Remote Sensing

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“…The following are the main categories of data used to derive all the calibration information during this campaign [2,3,4]:…”

Section: The Radarsat-2 Calibration Campaignmentioning

confidence: 99%

Image quality and calibration of RADARSAT-2

Luscombe¹

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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RADARSAT-2 has 177 operational imaging modes. Versions of each of these modes are available either for leftor right-looking imaging, and most modes allow images to be generated for any of the four linear polarization combinations (HH, VV, HV, VH). To support these modes there are currently 1816 sets of beam coefficients and 16 digitized pulse forms stored on the spacecraft. The radar employs a number of SAR techniques besides the established Stripmap and ScanSAR of RADARSAT-1, including alternating transmit polarization, Dual-Receive (separately on the two antenna wings) and Stitched Pulse.All these factors that provide the versatility for the system also increase the complexity of the task to establish and maintain image quality and calibration. This paper covers work that was undertaken to achieve an efficient image quality and calibration campaign during the first four months of the mission, and to maintain and upgrade imaging capabilities and quality since that period.

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“…Like other space-borne PolSAR satellites [16][17][18], the GF-3 satellite implements an internal calibration system [2]. Internal calibration can track the performance of the radar system by transmitting calibration pulses and receiving them through a dedicated internal calibration loop [19].…”

Section: Channel Imbalances Of Transmit and Receive Channelmentioning

confidence: 99%

“…More details of GF-3 internal system can be found in [8]. Therefore, the imbalance of transmit and receive channel can be determined from the data obtained by the internal calibration system, namely as "internal calibration data" [2,16]. This estimation process can be summarized as follows:…”

Section: Channel Imbalances Of Transmit and Receive Channelmentioning

confidence: 99%

Error Source Analysis and Correction of GF-3 Polarimetric Data

et al. 2018

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The GaoFen-3 (GF-3) satellite is the first polarimetric synthetic aperture radar (PolSAR) satellite in China. With a designed in-orbit life of 8 years, it will provide large amounts of PolSAR data for ocean monitoring, disaster reduction, and many other applications. The polarimetric data quality is essential for all these applications, so the analysis and calibration of the polarimetric error sources are very important for GF-3. In this study, we established a full-link error model for GF-3 PolSAR system. Based on this model, we comprehensively analyzed the quantitative effects of the main error sources including the composition, figured out characteristics of the phase imbalance introduced by the antenna, and pointed out the error sources which have to be corrected. Furthermore, the polarimetric correction method for GF-3 PolSAR system is proposed. Finally, assisted by several external calibration experiments, polarimetric errors of GF-3 data are efficiently corrected during in-orbit-test phase. are 8 m/30 km while QPSII are 25 m/40 km. With these Full Polarized Modes, there are more than 40 beams in both right-and left-looking orientation, while the look angle ranges from 18.8 • to 42.8 • . Additionally, all beams have multiple options of bandwidth and pulse duration. With these multiple polarization modes, multiple beams and multiple bandwidths, GF-3 PolSAR can obtain more than 250 kinds of data under different system conditions, which may cause different polarimetric errors. So, GF-3 polarimetric calibration tasks face the challenge of guaranteeing the PolSAR data quality in each observing case. The product generation software of the GF-3 ground segment was developed by the Institute of Electronics, Chinese Academy of Sciences (IECAS) (details are described in [9]). In this study, we provide the methods used for the polarimetric error source analysis and calibration, and also the quality assessment results of GF-3 polarimetric data after polarimetric correction.

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RADARSAT-2 calibration: proposed targets and techniques

Cited by 13 publications

References 1 publication

TerraSAR-X Antenna Calibration and Monitoring Based on a Precise Antenna Model

TerraSAR-X Antenna Calibration and Monitoring Based on a Precise Antenna Model

Image quality and calibration of RADARSAT-2

Error Source Analysis and Correction of GF-3 Polarimetric Data

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