Artikel

Leier, S. ; Fandos, R. ; Zoubir, A. M. (2014)
Motion Error Influence on Segmentation and Classification Performance in SAS based Automatic Mine Countermeasures.
In: IEEE Journal of Oceanic Engineering, 40 (1)
Artikel, Bibliographie

Fandos, R. ; Debes, C. ; Zoubir, A. M. (2013)
Resampling Methods for Quality Assessment of Classifier Performance and Optimal Number of Features.
In: Signal Processing, 93 (11)
Artikel, Bibliographie

Fandos, R. ; Zoubir, A. M. (2013)
Unified Design of a Feature Based ADAC System for Mine Hunting using Synthetic Aperture Sonar.
In: Trans. on Geoscience and Remote Sensing, 52 (5)
Artikel, Bibliographie

Fandos, R. ; Zoubir, A. M. (2011)
Optimal Feature Set for Automatic Detection and Classification of Underwater Objects in SAS Images.
In: IEEE Journal of Selected Topics in Signal Processing, 5 (3)
Artikel, Bibliographie

Konferenzveröffentlichung

Fandos, R. ; Sadamori, L. ; Zoubir, A. M. (2012)
Sparse Representation Based Classification for Mine Hunting Using Synthetic Aperture Sonar.
Proc. 37th Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP).
Konferenzveröffentlichung, Bibliographie

Fandos, R. ; Sadamori, L. ; Zoubir, A. M. (2011)
High Quality Segmentation of Synthetic Aperture Sonar Images using the Min-Cut/Max-Flow Algorithm.
Proc. 19th European Signal Processing Conf. (EUSIPCO).
Konferenzveröffentlichung, Bibliographie

Fandos, R. ; Zoubir, A. M. (2010)
Enhanced Initialization Scheme for a Three-Region Markovian Segmentation Algorithm and its Application to SAS Images.
Proc. European Conf. on Underwater Acoustics(ECUA), .
Konferenzveröffentlichung, Bibliographie

Dissertation

Fandos, R. (2012)
ADAC System Design and Its Application to Mine Hunting Using SAS Imagery.
Technische Universität Darmstadt
Dissertation, Bibliographie