Raquel Fandos

High quality segmentation of synthetic aperture sonar images using the min-cut/max-flow algorithm

Abdelhak M. Zoubir, Leyna Sadamori, Raquel Fandos, 2011, 2011 19th European Signal Processing Conference.

Sparse Representation based Classification for mine hunting using Synthetic Aperture Sonar

Abdelhak M. Zoubir, Leyna Sadamori, Raquel Fandos, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal Feature Set for Automatic Detection and Classification of Underwater Objects in SAS Images

Abdelhak M. Zoubir, Raquel Fandos, 2011, IEEE Journal of Selected Topics in Signal Processing.

Motion Error Influence on Segmentation and Classification Performance in SAS-Based Automatic Mine Countermeasures

Abdelhak M. Zoubir, Raquel Fandos, Stefan Leier, 2015, IEEE Journal of Oceanic Engineering.

Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar

Abdelhak M. Zoubir, Konstantinos Siantidis, Raquel Fandos, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Resampling methods for quality assessment of classifier performance and optimal number of features

Abdelhak M. Zoubir, Christian Debes, Raquel Fandos, 2013, Signal Process..

Enhanced Initialization Scheme for a Three-Region Markovian Segmentation Algorithm and its Application to SAS Images

Abdelhak M. Zoubir, Raquel Fandos, A. Zoubir, 2010 .

ADAC system design and its application to mine hunting using SAS imagery

Raquel Fandos, 2012 .