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Anzahl der Einträge: 8.

Leier, S. ; Fandos, R. ; Zoubir, A. M. :
Motion Error Influence on Segmentation and Classification Performance in SAS based Automatic Mine Countermeasures.
In: IEEE Journal of Oceanic Engineering, pp (99) pp. 1-14.
[Artikel], (2014)

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

Fandos, R. ; Zoubir, A. M. :
Unified Design of a Feature Based ADAC System for Mine Hunting using Synthetic Aperture Sonar.
In: Trans. on Geoscience and Remote Sensing, 52 (5) 2413 - 2426.
[Artikel], (2013)

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

Fandos, R. :
ADAC System Design and Its Application to Mine Hunting Using SAS Imagery.
Technische Unitersität Darmstadt

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

Fandos, R. ; Zoubir, A. M. :
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) 454 - 468.
[Artikel], (2011)

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

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