Single Channel Circular SAR Moving Target Detection Based on Logarithm Background Subtraction Algorithm

Shen, Wenjie; Lin, Yun; Yu, Li; Xue, Feiteng; Hong, Wen

doi:10.3390/rs10050742

Cited by 26 publications

(25 citation statements)

References 33 publications

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“…The red curve of the clutter processed with W DPCA demonstrates that the energy of the stationary clutter was effectively suppressed. The signal-clutter ratio (SCR) of the region of interest (ROI) in an image can be defined as [3]:…”

Section: Weighted Mti Clutter Suppression Results Using the Gotcha Chmentioning

confidence: 99%

“…The circular SAR (CSAR), which employs the long-time and multi-angle observation of a scene, has the potential for moving target detection (MTD) [2]. Since a dual-channel SAR system has a larger spatial freedom, the clutter of the scene might be suppressed more effectively in it than in a single channel one [3,4]. However, the carrier yaw in the dual-channel CSAR geometry causes group-phase shift [5] between the CSAR image pair.…”

Section: Introductionmentioning

confidence: 99%

“…However, the filter is only suited for ocean applications. In Shen et al [3] and Uysal et al [12], pixels in a series of images need to be sequenced to select the medium value, and then all the medium value pixels constitute the stationary clutter image. However, the algorithm increases the computational complexity significantly.…”

Section: Introductionmentioning

confidence: 99%

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Moving Target Indication for Dual-Channel Circular SAR/GMTI Systems

Wang

et al. 2019

Sensors

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In a dual-channel circular synthetic aperture radar (CSAR) and ground moving target indication (GMTI) system, the antenna baseline is not parallel with the flight path due to a yaw angle. The angle causes a varying group-phase shift between the dual-channel signals and therefore degrades the correlation between the image pair. Therefore, the group-phase shift needs to be removed before channel equalization. To resolve the problem, the interferometric phase term was deduced and analyzed based on the geometry of a dual-channel CSAR system. Then, the varying phase term with respect to the Doppler frequency and the varying group-phase shift over the range were compensated for in the channel registration. Furthermore, blind channel equalization, including two-dimensional calibration and amplitude equalization, was applied to eliminate the amplitude and residual phase differences between the channels. Finally, the amplitude image obtained using a displaced phase center antenna (DPCA) was multiplied by the phase image obtained with along-track interferometry (ATI) to detect moving targets. The experimental results verified the effectiveness of the method for both uniform and non-uniform clutter suppression.

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Section: Weighted Mti Clutter Suppression Results Using the Gotcha Chmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Moving Target Indication for Dual-Channel Circular SAR/GMTI Systems

Wang

et al. 2019

Sensors

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“…Although many interesting works about using subaperture image sequence to detect moving targets have been published [8][9][10][11], (to our knowledge) there are no references about applying this kind method to spaceborne case. Ouchi first studied the moving target signal's behavior in SAR subaperture image sequence [8].…”

Section: Introductionmentioning

confidence: 99%

“…Ouchi first studied the moving target signal's behavior in SAR subaperture image sequence [8]. The recent new works are [10,11]. In [10], Henke et al proposed a method to detect moving targets by extracting high values of certain pixel from 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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