Nerea del-Rey-Maestre

Orcid: 0000-0002-2933-8940

According to our database1, Nerea del-Rey-Maestre authored at least 26 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Motion Compensation for Long Integration Times and DoA Processing in Passive Radars.
Remote. Sens., February, 2023

2022
Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms' Clutter.
Sensors, 2022

Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios.
Sensors, 2022

2019
Generalized Gamma Distribution SAR Sea Clutter Modelling for Oil Spill Candidates Detection.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter.
IEEE J. Sel. Top. Signal Process., 2018

Artificial intelligence techniques for small boats detection in radar clutter. Real data validation.
Eng. Appl. Artif. Intell., 2018

ECA Filter Effects on Ground Clutter Statistics in DVB- T Based Passive Radar.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target's Detection and Localization.
Remote. Sens., 2017

2C-SVM Based Radar Detectors in Gaussian and K-Distributed Real Interference.
Proceedings of the Advances in Computational Intelligence, 2017

Design of a broadband patch antenna for a DVB-T based passive radar antenna array.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

Coherent VI-MLP-CFAR detector for IDEPAR demonstrator (DVB-T passive radar) in ground traffic monitoring.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2015
Feasibility Study of EO SARs as Opportunity Illuminators in Passive Radars: PAZ-Based Case Study.
Sensors, 2015

MLP-CFAR for improving coherent radar detectors robustness in variable scenarios.
Expert Syst. Appl., 2015

A non-parametric CFAR detector based on SAR sea clutter statistical modeling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An adaptive threshold technique for the LR detector in K-clutter. Validation using IPIX radar.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

MLP-based approximation to the Neyman Pearson detector in a terrestrial passive bistatic radar scenario.
Proceedings of the IEEE EUROCON 2015, 2015

Robustness of a Generalized Gamma CFAR ship detector applied to TerraSAR-X and Sentinel-1 images.
Proceedings of the IEEE EUROCON 2015, 2015

2014
Statistical Analysis of SAR Sea Clutter for Classification Purposes.
Remote. Sens., 2014

2013
Erratum: SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference.
Proceedings of the Advances in Computational Intelligence, 2013

SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference.
Proceedings of the Advances in Computational Intelligence, 2013

Sea Clutter Neural Network Classifier: Feature Selection and MLP Design.
Proceedings of the Advances in Computational Intelligence, 2013

Incoherent detection of targets with unknown Doppler shift in spiky K-distributed clutter.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Neural network based solutions for ship detection in SAR images.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Doppler Processors as Suboptimum Approaches for Detecting Targets with Unknown Doppler Shift.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013

Segmentation Techniques for Land Mask Estimation in SAR Imagery.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013

Analysis of NNs Detectors for Targets with Unknown Correlation in Gaussian Interference.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013


  Loading...