2014

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

2013

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

2012

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

2011

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. (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

2010

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