Results 81 to 90 of about 3,167 (215)
Array processing methods for calibrating Inverse Synthetic Aperture Radar and Multiple Pass Synthetic Aperture Radar / by Zhishun She. [PDF]
Table of corrections inserted opposite table of contents.Bibliography: p.191-212.xxiv, 212 p. : ill. ; 30 cm.Investigates calibration for errors of a synthetic aperture in Inverse Synthetic Aperture Radar and Multiple Pass Synthetic Aperture Radar.
She, Zhishun
core
Due to the spiral phase wavefront of vortex electromagnetic waves (VEMW), there will exist the orbital angular momentum (OAM) in the VEMW, which supplies additional spatial dimensional for the information process.
Rui Li +3 more
doaj +1 more source
Abstract This study introduces a structured, multi‐step workflow for harmonizing diverse soil water content (SWC) datasets to improve their meaningful comparability while preserving their intrinsic characteristics. The workflow addresses four components: unit, temporal, vertical, and lateral spatial harmonization, and is applied to point‐scale (PS ...
Sadra Emamalizadeh +5 more
wiley +1 more source
Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation
Moving ship targets appear blurred and defocused in synthetic aperture radar (SAR) images due to the translation motion during the coherent processing. Motion compensation is required for refocusing moving ship targets in SAR scenes.
Xiangli Huang +4 more
doaj +1 more source
The Evidence for Linearly Scaling Ocean Gas Exchange With Sea Ice Needs Strengthening
Abstract Polar oceans are critical components of the oceanic uptake of atmospheric carbon dioxide. Estimates of this uptake across the air‐sea interface require parameterizations of gas transfer velocity that account for variable sea ice concentrations.
Jennifer Watts +8 more
wiley +1 more source
Wavelet-Based Compressed Sensing for Polarimetric SAR Tomography [PDF]
Tomographic synthetic aperture radar (SAR) imaging has been recently formulated in a wavelet-based compressed sensing (CS) framework. This paper reviews the underlying sparsity-driven algorithms for single-channel as well as polarimetric tomography, and ...
Nannini, Matteo +2 more
core
Integrating Ice Analyses and Varying Floe Size Parameterization Into Great Lakes Ice Prediction
Abstract Accurate prediction of Great Lakes ice cover is critical for regional weather, navigation support, and safety. Current operational models often exhibit biases, such as over‐prediction of ice concentration and delayed spring melt, potentially due to simplified parameterizations.
Kaitlin Pereira +3 more
wiley +1 more source
Autofocusing ISAR images via sparse representation [PDF]
S.203-206While a continuously distributed reflectivity of a scene to be imaged with synthetic aperture radar does not really show sparsity - resulting in a limited performance of compressed sensing for general scenes - the signals of selected objects ...
Ender, J.H.G.
core
High-Resolution ISAR Imaging With Sparse Aperture VFM Waveforms Under Low SNR Condition
In recent years, the compressed sensing theory has been widely used in sparse aperture radar imaging. The inverse synthetic aperture radar (ISAR) imaging based on the sparse aperture echo of V-style frequency modulation (V-FM) waveform, which can ...
Jiyuan Chen +4 more
doaj +1 more source
Maximum entropy regularization in inverse synthetic aperture radar imagery [PDF]
The method of maximum entropy is applied to the regularization of inverse synthetic aperture radar (ISAR) image reconstructions. This is accomplished by considering an ensemble of images with associated 'allowed' probability density functions. Instead of directly considering the 'solution' to be an image, the author takes it to be the a posteriori ...
openaire +1 more source

