On the Processing of Very High Resolution Spaceborne SAR Data

Prats-Iraola, Pau; Scheiber, Rolf; Rodríguez-Cassolà, Marc; Mittermayer, Josef; Wollstadt, Steffen; Zan, Francesco De; Bräutigam, Benjamin; Schwerdt, Marco; Reigber, Andreas; Moreira, Alberto

doi:10.1109/tgrs.2013.2294353

Cited by 143 publications

(96 citation statements)

References 48 publications

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“…For further details on the modes and science phase timeline, please refer to Hajnsek et al (2014) and Tridon et al (2014). The processing of CoSSC products has been described in Balss et al (2014) and further information on SAR processing methods of staring spotlight data can be found in Mittermayer et al (2014), Prats-Iraola et al (2014), and Kraus et al (2016).…”

Section: Tdx Modes and Data Set 21 Tdx Modesmentioning

confidence: 99%

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Eldhuset

2017

International Journal of Remote Sensing

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The objective of this work is to generate accurate digital elevation models (DEMs) from synthetic aperture radar (SAR) interferograms using the spotlight and staring spotlight modes during the TanDEM-X (TDX) science phase. We use stereo SAR with TDX or TerraSAR-X (TSX) to estimate absolute heights of natural or manmade reflectors for input to the unwrapped interferograms. The accuracy of the absolute heights in the DEMs was a few decimetres in flat regions and a few metres in the hilly and rugged terrain. ARTICLE HISTORY

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Section: Tdx Modes and Data Set 21 Tdx Modesmentioning

confidence: 99%

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Eldhuset

2017

International Journal of Remote Sensing

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“…First, the LRCM is corrected using the LRWC factor ( ) [13]. Then, the error caused by the curved orbit [9] is corrected using the filter ( ) …”

Section: R T R T R V T T Rv T T R T J Lgmentioning

confidence: 99%

“…5. Contour plots of the impulse response function from (a) 1 P , (b) 5 P , and (c) 9 P using the proposed algorithm without azimuth spatial variation removing Finally, Fig. 5 gives the contour plots of the IRF of the three targets 1 P , 5 P , and 9 P using the proposed algorithm without the azimuth spatial variation removing operation.…”

Section: Azimuth Processing With Azimuth Spatial Variation Removingmentioning

confidence: 99%

“…Another azimuth preprocessing method including the linear range walk correction (LRWC) operation and de-rotation operation can cope with the above two problems simultaneously, but two key issues arise after the azimuth preprocessing. Firstly, the LRWC operation changes the signal property significantly so that the traditional imaging algorithms for high-resolution broadside SAR [8][9] cannot accurately focus the data; secondly, the Doppler rates of the targets located at the same range cell after range compression vary along the azimuth direction, which leads to residual quadratic phases for the targets at azimuth edge if the same matched filter is used. Thus, the azimuth size of the focused scene, which is also called the depth-of-azimuth-focus (DOAF), is seriously limited, especially in high-resolution case.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Imaging Algorithm for Focusing High-Resolution Spaceborne SAR Data in Squinted Sliding-Spotlight Mode

Chen¹,

Kuang

Yang

et al. 2016

IEEE Geosci. Remote Sensing Lett.

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Abstract-To process squinted sliding-spotlight synthetic aperture radar (SAR) data, the azimuth preprocessing step based on the linear range walk correction (LRWC) and de-rotation operations is implemented to eliminate the effect of two-dimensional (2-D) spectrum skew and azimuth spectral aliasing. However, two key issues arise from the azimuth preprocessing. Firstly, the traditional chirp scaling (CS) kernel is not suitable for data focusing because the property of 2-D spectrum is changed significantly; secondly, the spatial variation of the targets' Doppler rates along the azimuth direction due to the LRWC operation limits the depth-of-azimuth-focus (DOAF) seriously. In this letter, a modified accurate CS kernel is derived to realize range compensation. Then an azimuth spatial variation removing method based on the principle of nonlinear CS (NLCS) is proposed to equalize the Doppler rates of the targets located at the same range cell, which can extend the DOAF and improve processing efficiency. Finally, a novel imaging algorithm is proposed, with its effectiveness demonstrated by simulation results.Index Terms-Azimuth spatial variation removing, modified chirp scaling (CS) kernel, squinted sliding-spotlight, synthetic aperture radar (SAR).

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“…When the required resolution is higher, the validity of the stop-go model is reduced. Prats-Iraola et al pointed out that in order to acquire 0.21-meter resolution images, the curvature of the orbit and the relative motion between transmitting and receiving should be taken into account [13]. Otherwise, the residual phase induced by the stop-go model is intolerable and the quality inevitably decreases.…”

Section: Introductionmentioning

confidence: 99%

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

Wang

Zhou

2016

Remote Sensing

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This paper develops a continuous tangent motion model by approximating the relative trajectories between spaceborne Synthetic Aperture Radar (SAR) and its targets during every transmitting period and every receiving period as tangential segments. Compared with existing motion models, including the stop-go model and the continuous rectilinear model, the continuous tangent model is much closer to the actual relative motion. Based on the new motion model, an imaging compensation algorithm is proposed that considers the space-variant property of SAR echoes more fully by introducing three space-variant factors: the time-scaling factor, the transmitting-receiving rate, and the transmitting-receiving constant. As a result, spaceborne SAR imaging with 0.21-meter resolution and wide-swath, up to 15 kmˆ15 km, is achieved. Simulation results indicate that the novel algorithm provides a superior and more consistent focusing quality across the whole swath compared with existing algorithms based on the stop-go or continuous rectilinear models.

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On the Processing of Very High Resolution Spaceborne SAR Data

Cited by 143 publications

References 48 publications

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

A Novel Imaging Algorithm for Focusing High-Resolution Spaceborne SAR Data in Squinted Sliding-Spotlight Mode

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model

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