Results 141 to 150 of about 5,260 (224)
Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images
Although techniques for resolution enhancement in single-aspect radar imaging have made rapid progress in recent years, it does not necessarily imply that such enhanced images will improve target identification or recognition. However, when multiple looks of the same target from different aspects are obtained, the available knowledge base increases ...
Ram M. Narayanan, Zhixi Li
semanticscholar +4 more sources
A comparison of some electronic countermeasures on Inverse Synthetic Aperture Radar (ISAR)
Inverse Synthetic Aperture Radar (ISAR) is an important means for target classification, recognition, identification and many other military applications. A simulation model of ISAR system is established after analyzing the principle of ISAR imaging, and then several ECM (Electronic Counter Measurement) techniques are studied.
Shunji Huang +3 more
semanticscholar +5 more sources
Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming
Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail.
Douglas A. Gray +2 more
semanticscholar +4 more sources
Large distortion in ISAR images of a moving target has been investigated and demonstrated under controlled experiments. The distortion is a result of small time-varying perturbed motion experienced by the target and is attributed to a modulation effect in the phase of the radar return from the target.
S.K. Wong, G. Duff, E. Riseborough
semanticscholar +4 more sources
The U.S. Navy has been interested in applying neural network processing architectures to automatically determine the naval class of ships from an inverse synthetic aperture radar (ISAR) on-board an airborne surveillance platform. Currently an operator identifies the target based on an ISAR display.
Murali M. Menon
semanticscholar +4 more sources
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
semanticscholar +4 more sources
Superresolution inverse synthetic aperture radar (ISAR) imaging using compressive sampling [PDF]
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
openaire +2 more sources
Distortion in the ISAR (inverse synthetic aperture radar) images from moving targets
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
openaire +3 more sources
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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
openaire +3 more sources
Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression [PDF]
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.
Shao Chao, Lu Guangyue
openaire +2 more sources

