Results 101 to 110 of about 6,876 (292)

A New Method to Separate Ground Clutter and Atmospheric Reflections in the Case of Similar Doppler Velocities [PDF]

open access: yes, 2008
—This paper introduces a new ground clutter suppression technique which preserves weather echoes. This clutter suppression method uses both statistical and polarimetric properties of the target and clutter.
Herman Russchenberg   +5 more
core  

Joint mitigation of RF interference and ground clutter in an airborne surveillance radar system [PDF]

open access: yes, 2022
4 S.Ground Moving Target Indication is a key feature of modern airborne surveillance radar systems. In operational scenarios, the radar echos from moving targets will have to compete not only with ground clutter, but also with (both intentional and ...
Witter, M., Bürger, W.
core  

Radar rainfall image repair techniques [PDF]

open access: yesHydrology and Earth System Sciences, 2004
There are various quality problems associated with radar rainfall data viewed in images that include ground clutter, beam blocking and anomalous propagation, to name a few. To obtain the best rainfall estimate possible, techniques for removing ground
Stephen M. Wesson   +3 more
doaj  

Moving beyond neurophobia to cultivate the neuroquisitive learner

open access: yesAnatomical Sciences Education, EarlyView.
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel   +1 more
wiley   +1 more source

The Background Clutter Pattern Used in Figure–Ground Experiments [PDF]

open access: yes, 2013
The pattern used in figure–ground experiments (A) contains components of random frequency and phase, with 1/f statistics similar to those of natural scenes. It excites HS tangential neurons maximally (average of five recordings [B]), but has no effect on
Karin Nordström (14500)   +2 more
core   +1 more source

A New Method of Robust Ground Moving Target Detection Under Different Backgrounds of Airborne SAR Based on Spatial Deformable Module

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Combined with the synthetic aperture radar (SAR) imaging algorithm, diverse simulation sample sets of ground moving targets are constructed to tackle the problem of insufficient measured data in the SAR ground moving target indication algorithm based on ...
He Yan   +8 more
doaj   +1 more source

Sparse Representation Based Algorithm for Airborne Radar in Beam-Space Post-Doppler Reduced-Dimension Space-Time Adaptive Processing

open access: yesIEEE Access, 2017
An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

Bayesian Approaches to Detect and Mitigate Ground Clutter mixed with Weather Signals [PDF]

open access: yes, 2013
Ground clutter is a long standing issue in radar meteorology, considering that it can bring significant bias to the estimations of weather moments, polarimetric parameters, rainfall rate, hydrometeor identification, etc.
Li, Yinguang
core  

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy