Exploitation of the COSMO-SkyMed SAR System for GMTI Applications

Pastina, Debora; Turin, Fabrizio

doi:10.1109/jstars.2014.2354459

Cited by 14 publications

(14 citation statements)

References 34 publications

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“…Assuming an azimuth resolution of 10 m the critical velocity is around 10 −6 m/s for a regional GEOSAR system; around 10 −3 m/s for a continental GEOSAR system and around 0.1 m/s for a LEOSAR system. From the above considerations every moving target in the scene can be assumed as decorrelating clutter for a GEOSAR system and modeled as in (11).…”

Section: Geosar Focused Signal Modelmentioning

confidence: 99%

“…We want to define a model for the azimuth spreading of the decorrelating clutter energy in a focused GEOSAR image. The decorrelating clutter is a random process and the expected value of the clutter energy throughout the focused scene can be evaluated from (11) as…”

Section: A Scr Model In Focused Geosar Imagementioning

confidence: 99%

“…The increase of the integration time and the reduction of the wavelength in modern SAR systems, aimed at improving resolution like in Spotlight SAR [9], pose the problem of nonstationary clutter, which also affects applications like moving target indication [10], [11]. For this reason, nonstationary clutter has been widely investigated by Billingsley, who introduced the Internal Clutter Motion (ICM) model, experimentally derived for windblown trees at different bands (from L to X) [12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Recchia

Guarnieri

Broquetas

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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We discuss the effects of the clutter on geosynchronous SAR systems exploiting long integration times (from minutes to hours) to counteract for two-way propagation losses and increase azimuth resolution. Only stable targets will be correctly focused whereas unstable targets will spread their energy along azimuth direction. We derive here a generic model for the spreading of the clutter energy based on the power spectral density of the clutter itself. We then assume the Billingsley Intrinsic Clutter Motion model, representing the clutter power spectrum as an exponential decay, and derive the expected GEOSAR signal-toclutter ratio. We also provide some results from a Ground Based RADAR experiment aimed at assessing the long-term clutter statistics for different scenarios to complement the Internal Clutter Motion model, mainly derived for windblown trees. Finally, we discuss the expected performances of two GEOSAR systems with different acquisition geometries.

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Section: Geosar Focused Signal Modelmentioning

confidence: 99%

Section: A Scr Model In Focused Geosar Imagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Recchia

Guarnieri

Broquetas

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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“…In such condition [33], conventional focusing (i.e., matched to the platform motion) is able to correctly focus the moving target. However, the proposed technique can be easily generalized to cope with a SAR strip mode or with targets experiencing along-track motions by introducing a bank structure [3], [33] composed by different branches each matched to a different target motion condition. Obviously, in real scenarios, a number of moving targets with different motion characteristics can be present.…”

Section: B Gmti Processing Technique For Mimo Systemsmentioning

confidence: 99%

Ground Moving Target detection Based on MIMO SAR systems

Lombardo

Pastina

Turin

2015

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

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Multichannel space-based synthetic aperture radar (SAR) systems that exploit receiving antenna subarrays displaced in the along-track direction have been shown to provide the capability to detect ground moving targets and potentially estimate their radial motion velocity, thus making possible their correct relocation inside the SAR image of the background. However, the use of only two receiving channels to contain cost, mass, and data-rate, imposes limitations in terms of potentiality of joint clutter cancelation and target velocity estimation. To overcome this problem, we propose a full MIMO SAR scheme obtained by transmitting nearly orthogonal waveforms with the two subarrays achieved from a single antenna aperture and receiving with the same subarrays. A complete processing chain for the joint detection, imaging, and radial speed estimation is presented showing that by properly applying the clutter cancelation step before waveform compression, a good clutter removal performance is obtained despite the waveforms are not fully orthogonal. The performance of the proposed MIMO system is deeply investigated and compared to the performance of conventional multichannel systems to assess the relative merits and drawbacks.

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“…Previous work utilizes this effect to detect moving targets. For example in [7], Pastina et al proposed a method to detect moving targets in spaceborne spotlight SAR images by a bank of focusing filters. An alternative idea to detect moving targets is utilizing image sequence.…”

Section: Introductionmentioning

confidence: 99%

Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode

et al. 2019

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Spaceborne spotlight SAR mode has drawn attention due to its high-resolution capability, however, the studies about moving target detection with this mode are less. The paper proposes an image sequence-based method entitled modified logarithm background subtraction to detect ground moving targets with Gaofen-3 Single Look Complex (SLC) spotlight SAR images. The original logarithm background subtraction method is designed by our team for airborne SAR. It uses the subaperture image sequence to generate a background image, then detects moving targets by using image sequence to subtract background. When we apply the original algorithm to the spaceborne spotlight SAR data, a high false alarm problem occurs. To tackle the high false alarm problem due to the target’s low signal-to-noise-ratio (SNR) in spaceborne cases, several improvements are made. First, to preserve most of the moving target signatures, a low threshold CFAR (constant false alarm rate) detector is used to get the coarse detection. Second, because the moving target signatures have higher density than false detections in the coarse detection, a modified DBSCAN (density-based spatial-clustering-of-applications-with-noise) clustering method is then adopted to reduce false alarms. Third, the Kalman tracker is used to exclude the residual false detections, due to the real moving target signature having dynamic behavior. The proposed method is validated by real data, the shown results also prove the feasibility of the proposed method for both Gaofen-3 and other spaceborne systems.

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Exploitation of the COSMO-SkyMed SAR System for GMTI Applications

Cited by 14 publications

References 34 publications

Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing

Ground Moving Target detection Based on MIMO SAR systems

Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode

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