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Number of items: 8.

Leier, S. and Fandos, R. and 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), pp. 1-14, [Article]

Fandos, R. and Debes, C. and Zoubir, A. M. (2013):
Resampling Methods for Quality Assessment of Classifier Performance and Optimal Number of Features.
In: Signal Processing, 93 (11), pp. 2956–2968, [Article]

Fandos, R. and 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), pp. 2413 - 2426, [Article]

Fandos, R. and Sadamori, L. and Zoubir, A. M. (2012):
Sparse Representation Based Classification for Mine Hunting Using Synthetic Aperture Sonar.
Kyoto, Japan, In: Proc. 37th Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3393-3396, [Conference or Workshop Item]

Fandos, R. (2012):
ADAC System Design and Its Application to Mine Hunting Using SAS Imagery.
Technische Unitersität Darmstadt, [Ph.D. Thesis]

Fandos, R. and Sadamori, L. and Zoubir, A. M. (2011):
High Quality Segmentation of Synthetic Aperture Sonar Images using the Min-Cut/Max-Flow Algorithm.
Barcelona, Spain, In: Proc. 19th European Signal Processing Conf. (EUSIPCO), pp. 51-55, [Conference or Workshop Item]

Fandos, R. and 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), pp. 454 - 468, [Article]

Fandos, R. and Zoubir, A. M. (2010):
Enhanced Initialization Scheme for a Three-Region Markovian Segmentation Algorithm and its Application to SAS Images.
Istanbul, Turkey, In: Proc. European Conf. on Underwater Acoustics(ECUA), , pp. , [Conference or Workshop Item]

This list was generated on Tue Sep 22 01:29:25 2020 CEST.