Cross-range scaling for ISAR via optical flow analysis

Yeh, Chunmao; Xu, Jia; Peng, Yingning; Wang, Xiutan; Yang, Jian; Xia, Xiang-Gen

doi:10.1109/maes.2012.6163609

Cited by 12 publications

(6 citation statements)

References 14 publications

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“…On the other hand, from (6), ω can be derived by the scatterer position in the range-Doppler plane. Consequently, the maneuver information can be extracted theoretically by matching the target scatterers in ISAR images of different instants [13,14]. For example [14], ω of airplane rotation is estimated by comparing the geometrical relationship differences of relative scatterers in two adjacent images.…”

Section: Relationship Between Maneuver Parameters and Imagesmentioning

confidence: 99%

“…Many methods in curve fitting, image processing, and ISAR cross-range scaling can be utilized to estimate s [12][13][14][15]. Least squares (LS) and total least squares (TLS) methods are easy to operate but would be invalided if some shadowing or obstructions appeared in the ISAR image [20].…”

Section: Estimation Of S and : Smentioning

confidence: 99%

“…Least squares (LS) and total least squares (TLS) methods are easy to operate but would be invalided if some shadowing or obstructions appeared in the ISAR image [20]. Some algorithms such as Radon and Hough transforms [13] and polar mapping [15] …”

Section: Estimation Of S and : Smentioning

confidence: 99%

“…As stated in [11], the relative orientation of missile-to-target in interception can be approximated by a turntable model, which makes the maneuver discrimination using ISAR images possible. In fact, the estimation of motion parameters per se including translational motion velocity, rotation velocity, and direction is key to autofocus and cross-range scaling in ISAR imaging, and many signal-domain and image-domain methods have been proposed [12][13][14][15]. In essence, these methods are mostly offline data processing regardless of application backgrounds and need an iterative optimization "matching."…”

Section: Introductionmentioning

confidence: 99%

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Target maneuver discrimination using ISAR image in interception

Fan

Xiao

Fan

et al. 2016

EURASIP J. Adv. Signal Process.

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Discrimination for target maneuver magnitude and direction switching during the endgame is significant for interception performance improvement. Inverse synthetic aperture radar (ISAR) images carry the information related to target motion parameters. It is feasible to use them to discriminate the maneuver. An imaging model in interception is first formulated. The principle of maneuver discrimination using the ISAR images is then fully explored. A novel and practical discriminator is developed with a rigorous analysis of the scenario characteristics. The discriminator parameter selection and some important factors affecting the discrimination performance are discussed comprehensively. Finally, a simulation environment with software tools capable of generating target-realistic ISAR images is developed. The simulation results confirm the rationality of the design procedure and demonstrate that the proposed discriminator performs better than the classical innovation-based maneuver discriminator.

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Section: Relationship Between Maneuver Parameters and Imagesmentioning

confidence: 99%

Section: Estimation Of S and : Smentioning

confidence: 99%

Section: Estimation Of S and : Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Target maneuver discrimination using ISAR image in interception

Fan

Xiao

Fan

et al. 2016

EURASIP J. Adv. Signal Process.

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“…However, the ISAR imaging is based on the relative movement between radar and target, the unexpected movement of the target may cause many issues in imaging process. For example, for the minor movement of the target, ISAR vertical resolution is low, for the large movement, the complicated compensation is difficult [3].…”

Section: Introductionmentioning

confidence: 99%

Fast MIMO-ISAR Back Projection Algorithm Based on FFT

Wang¹,

Wang²,

Xu³

et al. 2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

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Interesting components detection for space satellites from inverse synthetic aperture radar image via feature probabilistic estimation

Zhang

Xing

et al. 2015

IET Image Processing

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Since inverse synthetic aperture radar (ISAR) imaging is a valuable technique in the identification of space satellites, it can potentially detect interesting components of space satellites in ISAR images to further conduct identification. This study proposes a novel method, defined as feature probabilistic estimation (FPE), to detect interesting components of space satellites based on ISAR image registration. In FPE, area feature registration is provoked to establish the relationship between space satellites and off-line templates of interesting components, followed by detection accuracy based on weighted Gaussian probabilistic density function. Electromagnetic simulations with different aspects, interesting components' structures and scenery noise demonstrate the efficiency and robustness of the proposed FPE, compared with the normalised cross coefficient.

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Cross-range scaling for ISAR via optical flow analysis

Cited by 12 publications

References 14 publications

Target maneuver discrimination using ISAR image in interception

Target maneuver discrimination using ISAR image in interception

Fast MIMO-ISAR Back Projection Algorithm Based on FFT

Interesting components detection for space satellites from inverse synthetic aperture radar image via feature probabilistic estimation

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