Results 201 to 210 of about 124,434 (276)
Optical Engineering, 1982 This paper is a preliminary report on investigations into the effects of data reduction on inverse synthetic aperture radar (ISAR) image quality and classifier performance. The case considered here is the effect of decimating the ISAR radar returns. Decimation of the type described induces image aliasing because of the signal processing involved in ...
Allen L. Gorin
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Superresolution inverse synthetic aperture radar (ISAR) imaging using compressive sampling [PDF]
SPIE Proceedings, 2010 A method based on compressive sampling to achieve superresolution in ISAR imaging is presented. The superresolution ISAR imaging algorithm is implemented by enforcing the sparsity constraints via random compressive sampling of the measured data. Sparsity constraint ratio (SCR) is used as a design parameter. Mutual coherence is used as a quantitative
Suman K. Gunnala, Saibun Tjuatja
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Distortion in the ISAR (inverse synthetic aperture radar) images from moving targets
2004 International Conference on Image Processing, 2004. ICIP '04., 2005 A physics-based numerical model has been developed to model the formation of severe distortion that is observed in ISAR images from moving targets. When a target possesses a small time-varying perturbed motion, a modulation effect is introduced in the phase of the radar return from the target. As a result, a broad smearing appears in the cross-range of
S.K. Wong, G. Duff, E. Riseborough
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Inverse Synthetic-Aperture Radar(ISAR) Images Recognition Using Deep Learning
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2020 We propose a method to recognize and classify inverse synthetic-aperture radar (ISAR) images of a target. The information that is combined from various image frames, it is generally in the context of time-averaging to remove statistically atomic noise shifts in the images.
Abhishek Avadhani +3 more
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<title>Inverse synthetic aperture radar (ISAR) image processing</title>
SPIE Proceedings, 1992ISAR is a form of range-Doppler imaging in which object motion is used to form an image. An account is presently given of the use of laser radar to conduct ambiguity function-like (AFL) and subaperture AFL (SAFL) imaging with all-digital processing.
A. Kachelmyer
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Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression [PDF]
2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002 The characteristics of the inverse synthetic aperture radar (ISAR) imaging data are fully analyzed from the view of complex image compression and the corresponding compressing method, Compression of AMplitude and Phase (CAMP) scheme for the phase history data, is proposed and verified by the real ISAR data.
Guangyue Lu, Chao Shao
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The use of entropy to focus inverse synthetic aperture radar (ISAR) images
Proceedings Electronic Technology Directions to the Year 2000, 2002 Inverse synthetic aperture radar (ISAR) images generated of targets which have a large angle of rotation or non-linear rotational motion are blurred if the rotational motion is not taken into account. If the rotational motion is known, the data can be corrected by resampling from the polar grid on which the data is collected, to a rectangular grid.
Y. Mohan-Ram, Lakhmi C. Jain
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A new auto-focus algorithm for inverse synthetic aperture radar (ISAR) imaging [PDF]
Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal, 2005 Autofocus is imperative for inverse synthetic aperture radar (ISAR) imaging. In this paper an approach for ISAR autofocus is developed by use of second order statistics (SOS) of returned signals. The ISAR observation model is established, the approach is verified and the relationship of the developed approach to other methods is investigated.
Zhishun She, Yan Liu
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SPIE Proceedings, 1989 High range resolution X-band Inverse Synthetic Aperture Radar (ISAR) using stepped frequency waveforms is described. Target images are produced by performing inverse Fourier transform in range dimension and linear predictive coding in the cross-range dimension.
D. Nandagopal +5 more
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Cross-band Inverse Synthetic Aperture Radar (ISAR) Image Fusion
2007 International Symposium on Signals, Systems and Electronics, 2007 Research on image fusion is making rapid progress recently, because multiple looks of the same target from different aspects will increase the available knowledge and allow more useful target information to be extracted. Studying on the physical principle of constructing radar images, especially inverse synthetic aperture radar (ISAR) images, make the ...
Zhixi Li, Ram M. Narayanan
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