Enhancement of Along-Track Interferometry for Ground Moving Target Indication

Kohlleppel, Robert; Gierull, Christoph H.

doi:10.1109/igarss.2008.4778969

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…The along-track InSAR (AT-InSAR) can measure the velocity of ocean surface currents associated with tides, internal waves, and other oceanic features [63][64][65][66][67][68][69][70][71][72][73], and can also be used as a moving target indicator (MTI) to detect such deterministic (hard) targets as moving vehicles [74][75][76][77][78][79].…”

Section: Sensormentioning

confidence: 99%

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Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

2013

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The present article is an introductory paper in this special issue on synthetic aperture radar (SAR). A short review is presented on the recent trend and development of SAR and related techniques with selected topics, including the fields of applications, specifications of airborne and spaceborne SARs, and information contents in and interpretations of amplitude data, interferometric SAR (InSAR) data, and polarimetric SAR (PolSAR) data. The review is by no means extensive, and as such only brief summaries of of each selected topics and key references are provided. For further details, the readers are recommended to read the literature given in the references theirin.

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Section: Sensormentioning

confidence: 99%

“…AT-InSAR can also detect and measure the slant-range velocity of a moving hard targets such as vehicles and ships [74][75][76][77][78][79]. The principle of this technique known as moving target indicator (MTI) by AT-InSAR is essentially the same as that for current measurements.…”

Section: Along-track Insarmentioning

confidence: 99%

Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

2013

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“…Different algorithms are proposed for detection of moving targets. They are detecting moving targets by using displaced phase centre antenna (Jung, 2009, andQin, Zhang andDong, 2006), along track interferometry (Kohlleppel and Gierull, 2008), single-channel radar processing (Li, Xu, Peng and Xia, 2006, Liu, Yuan, Gao and Mao, 2007, Kirscht, 1998, and Kirscht, 2002, and focusing algorithms (Fienup, 2001).…”

Section: Introductionmentioning

confidence: 99%

A New Method for Moving Target Detection in Sar Imagery

Yusufoglu

Kartal

2012

Proceedings of the First International Conference on Telecommunications and Remote Sensing

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This paper presents a new algorithm for detection and parameter estimation of moving targets in synthetic aperture radar (SAR) images. The proposed algorithm is capable of detecting targets moving in both range and azimuth directions, and also motion parameter estimation of the detected targets. This new algorithm uses "sub-aperture processing" and "shear averaging algorithm" for detection of range and azimuth direction movements respectively. Detection algorithm is processed in range and azimuth directions independently; therefore, algorithm is suitable for parallel processing. In addition to this property, detection performance and motion parameter estimation accuracy is high because of the non-sequential processing of range and azimuth motion detection. Computer simulations gives promising results of detecting moving targets in all directions and also extracting motion parameters of the detected target.

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