Velocity effects in synthetic apertures

Graf, K. A.; Guthart, H.

doi:10.1109/tap.1969.1139511

Cited by 15 publications

(6 citation statements)

References 3 publications

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“…The target motion effect on SAR image has been analyzed before, including the effects on resolution [8], range smear [9], sharpness [13], spectrum shift [20], and so on. However, they are mainly discussed based on boresight acquisition.…”

Section: B Doppler Characteristic Analysis Due To Target Motionmentioning

confidence: 99%

“…The effects of target motion on W. Yang, J. Chen and P. Wang are with the School of Electronic and Information Engineering, Beihang University, Beijing 100191, China. (e-mail: chenjie@buaa.edu.cn) W. Liu is with the Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, U.K. position change, resolution distortion and shadow feature were analyzed in [8]- [11], and several classic methods were proposed. For example, by using the information of position change, a velocity estimation method was proposed based on evaluation of the temporal correlation in SAR images [12].…”

Section: Introductionmentioning

confidence: 99%

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Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images

Yang

Chen

Liu

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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A novel azimuth velocity estimation method is proposed based on the multiple azimuth squint angles (MASA) imaging mode, acquiring sequential SAR images with different squint angles and time lags. The MASA mode acquisition geometry is given first, and the effect of target motion on azimuth offset and slant range offset is discussed in detail. Then, the azimuth velocity estimation accuracy is analyzed, considering the errors caused by registration, defocusing and range velocity. Moreover, the interaction between target azimuth velocity and range velocity is studied for a better understanding of the azimuth velocity estimation error caused by range velocity. With the proposed error compensation step, the new method can achieve a very high accuracy in azimuth velocity estimation, as verified by experimental results based on both simulated data and the TerraSAR-X data.

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Section: B Doppler Characteristic Analysis Due To Target Motionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images

Yang

Chen

Liu

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…In SAR processing it is assumed that the ground is static. In SAR images, azimuth image shift for a moving target is a well known phenomenon, which is observed in moving targets having slant-range velocity [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

“…Moving targets cause errors in SAR images, like defocusing and displacement, depending on the direction of their motion [1,2,3]. Since detection, identification and tracking of moving objects in SAR signals are necessary in both civil and military applications, the errors need to be corrected.…”

Section: Introductionmentioning

confidence: 99%

Velocity estimation of moving targets on the sea surface by azimuth differentials of simulated-SAR image

Yang

Kim

Ouchi

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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Since the change in Doppler centroid according to moving targets brings alteration to the phase in azimuth differential signals, one can measure the velocity of the moving targets using this. In this study, we will investigate theoretically measuring velocity of an object from azimuth differential signals by using range compressed data which is the interim outcome of treatment from the simulated Synthetic Aperture Radar (SAR) Raw data of moving targets considering sea clutter. Also, it will provide evaluation for the elements that affect the estimation error of velocity from a single SAR sensor. In the concrete, by making RADARSAT-1 simulated image, the research includes comparisons for the means of velocity measurement classified by directions of movement as in the four following cases. 1. A case in which the object that becomes the target exists independently, 2. When there is a tidal current of 1 m/s, 3. When there exists moving targets of different velocity on the azimuth, 4. When the target is contiguous to the land where it has high back scatter factor. As a result, when the object, which becomes the target, independently exists on SAR image in the range of 128 pixels, the velocity of object could be measured with high accuracy. However, when there existed other moving targets in the range of 128 pixels or when the target was contiguous to the land of high back scatter factor, the velocity was in error by 10% at the maximum. This is because in the process of assuming the target's location, an error occurred due to the disturbed signals affected by the scatterers.

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“…If the target phase center is not stationary and moves constantly with a velocity component in the radial direction during the radar integration time, the processed image will be positioned incorrectly in the cross-radial direction [Graf and Guthart, 1969;Harger, 1970;Raney, 1971;Mims and Farrell, 1972;Drake and Wright, 1974]. The amount of error depends on the geometry, and the purpose of this paper is to discuss the amount.…”

mentioning

confidence: 99%

Ocean wave cross-radial image error in synthetic aperture radar due to radial velocity

Tomìyasu¹

1975

J. Geophys. Res.

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Velocity effects in synthetic apertures

Cited by 15 publications

References 3 publications

Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images

Moving Target Azimuth Velocity Estimation for the MASA Mode Based on Sequential SAR Images

Velocity estimation of moving targets on the sea surface by azimuth differentials of simulated-SAR image

Ocean wave cross-radial image error in synthetic aperture radar due to radial velocity

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