Results 121 to 130 of about 41,591 (204)

Compressive Sensing for Tomographic Imaging of a Target with a Narrowband Bistatic Radar. [PDF]

Sensors (Basel), 2019
Nguyen NH, Berry P, Tran HT.
europepmc   +1 more source

Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation. [PDF]

Sensors (Basel), 2019
Huang X, Ji K, Leng X, Dong G, Xing X.
europepmc   +1 more source

MIMO Radar Accurate 3-D Imaging and Motion Parameter Estimation for Target with Complex Motions. [PDF]

Sensors (Basel), 2019
Hu Z, Wang W, Dong F, Huang P.
europepmc   +1 more source

Bistatic ISAR Imaging with a V-FM Waveform Based on a Dual-Channel-Coupled 2D-CS Algorithm. [PDF]

Sensors (Basel), 2018
Chen J, Pan X, Xu L, Wang W.
europepmc   +1 more source

Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning. [PDF]

Sensors (Basel), 2017
Zhang S, Liu Y, Li X.
europepmc   +1 more source

Multi-functional metasurface as a transmissive/reflective FSS and an on-air frequency mixer. [PDF]

Sci Rep
Kumar A, Kongari S, Chandrakapure Y, Sarkar D.   +3 more
europepmc   +1 more source

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
semanticscholar   +3 more sources

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.
Shao Chao, Lu Guangyue
semanticscholar   +3 more sources