Results 61 to 70 of about 207,009 (229)
Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods
Sensors, 2019 Sparse signal processing has already been introduced to synthetic aperture radar (SAR), which shows potential in improving imaging performance based on raw data or a complex image.
Zhilin Xu +4 more
doaj +1 more source
Rotational Anisotropy Raman Spectrometer for High‐Sensitivity Crystallographic Symmetry Analysis
Laser &Photonics Reviews, EarlyView.We introduce rotational‐anisotropy Raman spectroscopy, an enhanced scheme that overcomes the limitations of traditional polarization‐resolved Raman techniques. This method reveals previously inaccessible phonon symmetries and resolves directional anisotropy of phonon‐polaritons in benchmark crystals, establishing a powerful new tool for characterizing ...
Di Cheng +4 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
A method for the reduction of ship-detection false alarms due to SAR azimuth ambiguity [PDF]
2014 IEEE Geoscience and Remote Sensing Symposium, 2014 Due to the finite pulse repetition frequency and non-ideal antenna pattern, the presence of “ghosts” on SAR images of maritime scenes is frequently observed. This phenomenon can lead to an increase in false alarm rate in ship-detection applications. In this paper we propose to use the recently developed “asymmetric mapping and selective filtering” (AM ...
Corrado Avolio +7 more
openaire +3 more sources
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study evaluates the subseasonal predictive skill of tropical–extratropical cloud bands across four subtropical convergence zones in ECMWF reforecasts (2003–2022). Results show that, while exact daily predictions are limited to one week, accounting for temporal displacement improves forecast skill significantly, revealing a systematic early onset ...
Romain Pilon, Daniela I.V. Domeisen
wiley +1 more source
Small Methods, EarlyView.Nanopore technology has revolutionized single‐molecule sensing, yet it suffers from an inherent interpretive challenge. Molecular dynamics has emerged as a go‐to method for determining the relationship between the structure of translocating molecules and the nanopore current signals.
Behzad Mehrafrooz +5 more
wiley +1 more source
Ambiguity Resolution for Passive 2-D Source Localization with a Uniform Circular Array
Sensors, 2018 This paper proposes two novel phase-based algorithms for the passive localization of a single source with a uniform circular array (UCA) under the case of measuring phase ambiguity based on two phase difference observation models, which are defined as ...
Jinlong Xin +3 more
doaj +1 more source
Spectral-Prior-Guided Swin TransUnet for Sparse-Aperture FMCW MIMO-SAR Imaging
Remote SensingIn millimeter-wave frequency-modulated continuous-wave (FMCW) multiple-input multiple-output synthetic-aperture radar (MIMO-SAR) imaging, platform displacement beyond the spatial Nyquist limit during a slow-time sampling interval creates aperture gaps ...
Jiawei Wang +5 more
doaj +1 more source
Young’s modulus variation with azimuth for fracture-orientation estimation
, 2018 This study focuses on developing a pragmatic and robust method in the estimation of fracture orientation assuming a single set of aligned fractures. The Young’s modulus in the direction of fracture orientation is larger than that in the perpendicular ...
Qianhao Sun +3 more
core +1 more source
Small Methods, EarlyView.In FIB–SEM tomography of highly porous polymeric electrodes, subsurface fibers visible through open pores are mistaken for in‐plane material, distorting 3D reconstructions. A machine‐learning‐based depth‐aware model trained on everyday photographs, combined with unsupervised clustering, isolates the exposed fiber cross‐sections without labeled data ...
Carlota Bozal‐Ginesta +6 more
wiley +1 more source