Results 171 to 180 of about 46,586 (232)

Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging

IEEE Transactions on Image Processing, 2020
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden.
Wei Qiu, Jianxiong Zhou, Q. Fu
semanticscholar   +1 more source

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
openaire   +1 more source

Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming

Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197), 2002
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.
null Zhishun She, R.E. Bogner, D.A. Gray
openaire   +1 more source

Superresolution inverse synthetic aperture radar (ISAR) imaging using compressive sampling

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
openaire   +1 more source

Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression

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.
null Lu Guangyue, null Shao Chao
openaire   +1 more source

Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images

35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006
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 ...
Zhixi Li, Ram M. Narayanan
openaire   +1 more source

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
openaire   +1 more source

A new auto-focus algorithm for inverse synthetic aperture radar (ISAR) imaging

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.
null Zhishun She, null Y. Liu
openaire   +1 more source

An eigenvector approach for inverse synthetic aperture radar (ISAR) motion compensation and imaging

TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162), 2002
Inverse synthetic aperture radar (ISAR) is a high resolution imaging radar. The image reconstruction of ISAR involves two steps; motion compensation and image formation. In this paper, an eigenvector approach is proposed to carry out ISAR motion compensation.
null Zhishun She, R.E. Bogner, D.A. Gray
openaire   +1 more source

Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019
Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
semanticscholar   +1 more source