2012
DOI: 10.1049/iet-rsn.2011.0310
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ISAR based technique for refocusing non-cooperative targets in SAR images

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Cited by 77 publications
(46 citation statements)
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“…As shown in [29] for small values of T obs and, as a consequence of a constant rotation vector during the observation time V T (t) ≃ V T , the inner product in (2) can be expressed as follows (see details in Appendix 1)…”
Section: Signal Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…As shown in [29] for small values of T obs and, as a consequence of a constant rotation vector during the observation time V T (t) ≃ V T , the inner product in (2) can be expressed as follows (see details in Appendix 1)…”
Section: Signal Modelmentioning
confidence: 99%
“…On the other hand, ISAR processing is not reliant on a-priori knowledge of the relative radar-target motion, as this is estimated either before or while forming the synthetic aperture. In [2], ISAR processing has been demonstrated to be an effective tool for refocusing moving targets detected within SAR images. A detection step is also necessary before applying ISAR processing.…”
Section: Introductionmentioning
confidence: 99%
“…The displaced phase center antenna (DPCA) and along track interferometry (ATI) can effectively suppress the clutter [13,14], which requires multiple channels and therefore is not suitable for single-channel SAR systems. (2) Methods based on the region of interest (ROI) data [15][16][17]. This type of methods can effectively remove clutter and easily detect moving targets.…”
Section: Introductionmentioning
confidence: 99%
“…The performance of the Remote Sens. 2017, 9, 795 3 of 15 proposed method is evaluated, with both simulated and measured data, in Section 4. Conclusions are presented in Section 5.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of vessels, their motion may induce these artefacts that affect the quality of their image, and as a consequence, undermine the extraction of geometrical features such as their dimensions and main orientation. In order to overcome this problem, autofocus of the vessels' SAR signatures is required to compensate their defocus; examples of these procedures on spaceborne SAR acquisitions have been shown by Martorella et al [2012] using an inverse SAR approach to refocus SLC spotlight images of vessels, or Santamaria et al [2014] who use classical autofocus techniques on SLC vessels' signatures from stripmap acquisitions. By improving the focusing of the vessels' SAR signatures, better estimates of their features could be obtained.…”
Section: Introductionmentioning
confidence: 99%