Results 41 to 50 of about 81,814 (282)
Joint space aspect reconstruction of wide-angle SAR exploiting sparsity [PDF]
, 2008 In this paper we present an algorithm for wide-angle synthetic aperture radar (SAR) image formation. Reconstruction of wide-angle SAR holds a promise of higher resolution and better information about a scene, but it also poses a number of challenges when
Cetin, Mujdat +3 more
core +1 more source
Multiple feature-enhanced synthetic aperture radar imaging [PDF]
, 2009 Non-quadratic regularization based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat +3 more
core +1 more source
Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]
, 2005 Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
core +2 more sources
Remote Sensing, 2013 Autonomous navigation airborne forward-looking synthetic aperture radar (SAR) observes the anterior inferior wide area with a short cross-track dimensional linear array as azimuth aperture.
Xueming Peng +4 more
doaj +1 more source
A nonquadratic regularization-based technique for joint SAR imaging and model error correction [PDF]
, 2008 Regularization based image reconstruction algorithms have successfully been applied to the synthetic aperture radar (SAR) imaging problem. Such algorithms assume that the mathematical model of the imaging system is perfectly known.
Cetin, Mujdat +3 more
core +1 more source
Inverse synthetic aperture radar imaging using complex-value deep neural network
The Journal of Engineering, 2019 As compared with traditional ISAR imaging methods, the compressive sensing (CS)-based imaging methods can obtain high-quality images using much less under-sampled data.
ChangYu Hu +4 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 In recent years, bistatic inverse synthetic aperture radar (Bi‐ISAR) imaging of targets with sparse aperture has attracted more and more attention. One of the critical issues is that the Bi‐ISAR imaging of some large targets with rotational motions is ...
Hanshen Zhu +6 more
doaj +1 more source
Compressive sensing for interferometric inverse synthetic aperture radar applications
IET Radar, Sonar & Navigation, 2016 The applicability of interferometric inverse synthetic aperture radar (InISAR) techniques to images reconstructed via compressive sensing (CS)‐based algorithms is investigated. Specifically, the three‐dimensional (3D) reconstruction algorithm is applied after exploiting CS for data compression and image reconstruction.
A. Bacci +5 more
semanticscholar +3 more sources
Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT
Sensors, 2016 This paper proposes a time-frequency algorithm based on short-time fractional order Fourier transformation (STFRFT) for identification of a complicated movement targets. This algorithm, consisting of a STFRFT order-changing and quick selection method, is
Cunsuo Pang +4 more
doaj +1 more source
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2012 Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat +3 more
core +2 more sources