Results 11 to 20 of about 14,909 (237)
AutoFOCUS: A mindfulness-based intervention for caregivers of autologous hematopoietic stem cell transplant recipients. [PDF]
Yepez V +7 more
europepmc +3 more sources
Non-mydriatic fundus photography (NMFP) plays a vital role in diagnosing eye diseases, with its performance primarily dependent on the autofocus process.
Zeyuan Liu +4 more
doaj +1 more source
Airborne SAR Autofocus Based on Blurry Imagery Classification
Existing airborne SAR autofocus methods can be classified as parametric and non-parametric. Generally, non-parametric methods, such as the widely used phase gradient autofocus (PGA) algorithm, are only suitable for scenes with many dominant point targets,
Jianlai Chen +5 more
doaj +1 more source
Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and ...
Haemin Lee, Chang-Sik Jung, Ki-Wan Kim
doaj +1 more source
Can Liquid Lenses Increase Depth of Field in Head Mounted Video See-Through Devices?
Wearable Video See-Through (VST) devices for Augmented Reality (AR) and for obtaining a Magnified View are taking hold in the medical and surgical fields.
Marina Carbone +9 more
doaj +1 more source
SAR minimum entropy autofocusing based on Prewitt operator.
Current autofocus algorithms utilizing image criteria impose a significant computational burden. Therefore, this paper proposes a computationally efficient autofocus algorithm combined with SAR image feature points, employing the Prewitt operator to ...
Xiaoze Hou, Yanheng Ma
doaj +1 more source
Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine
Inaccurate Synthetic Aperture Radar (SAR) navigation information will lead to unknown phase errors in SAR data. Uncompensated phase errors can blur the SAR images. Autofocus is a technique that can automatically estimate phase errors from data.
Zhi Liu +4 more
doaj +1 more source
A sparsity-driven approach for joint SAR imaging and phase error correction [PDF]
Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed ...
Çetin, Müjdat, Önhon, Özben Naime
core +5 more sources
An Estimation and Compensation Method for Motion Trajectory Error in Bistatic SAR
Bistatic synthetic aperture radar (BiSAR) has drawn increasing attention in recent studies benefiting from its ability for forward-looking imaging, its capability of receiver radio silence and its resistance to jamming.
Yi Li +5 more
doaj +1 more source
An improved phase gradient autofocus algorithm for ISAR phase autofocus problem
Abstract The Phase Gradient Autofocus Algorithm (PGA) is widely used in radar imaging due to its ability to achieve high accuracy estimation of phase error of arbitrary orders. However, in inverse synthetic aperture radar (ISAR) imaging, the target usually occupies continuous range bins and there may be multiple stronger scatters in a range bin.
Weihong Fu, Haoyi Li
openaire +1 more source

