Journal article
Ship Classification Based On Co-Occurrence Matrix and Support Vector Machines
Electrica, 24(3), 812–817
Ship classification using co-occurrence-matrix features and support vector machines.
Research record
Publications and academic outputs.
Journal articles, conference contributions, a master's thesis, and the final report of a funded research project.
Google Scholar profileJournal articles
- Journal article
SAR Ship Detection Using Image Histograms and Machine Learning Approach
Türk Doğa ve Fen Dergisi, 13(3), 171–175Ship detection in SAR imagery using image-histogram features and machine-learning methods.
Citation
Conference contributions
- Conference paper
Noise Reduced SAR Ship Database
2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)21–22 September 2024Malatya, Türkiyepp. 1–6A noise-reduced database study for SAR ship detection.
Citation
- Conference abstract
Ship Classification Based On Gradient And Support Vector Machines
International Conference on Artificial Intelligence and Software Engineering (ICAISE-2024)6–7 May 2024Salzburg, Austriapp. 1–12A conference abstract on gradient and co-occurrence-matrix features for support-vector-machine ship classification.
Citation
- Conference abstract
SAR Ship Detection Based on Differential Image Analysis and Machine Learning Approach
International Conference on Engineering, Social-Sciences, and Humanities (ICESSH-24)8–9 February 2023Makkah, Saudi Arabiapp. 1–46A conference abstract on SAR ship detection using differential image analysis and machine-learning methods.
AVESİS lists the event dates as 8–9 February 2023.
Citation
Thesis & funded research
- Master’s thesis
Makine öğrenmesi ve görüntü işleme yöntemleri ile SAR görüntülerinde gemi tespiti
İnönü University · Master's thesis no. 879788pp. 37+viiiGraduate School of Natural and Applied Sciences, Department of Software EngineeringAdvisor: Kazım HanbayA master's thesis on ship detection and classification in SAR imagery using machine-learning and image-processing methods.
- Funded research report
SAR Görüntülerinden Gemi Tespiti İçin Diferansiyel Hesaplamalar ve Derin Öğrenme Temelli Yaklaşımlar Geliştirilmesi
TÜBİTAK 1001 Research Project · Final reportProject 123E344pp. 1–71The final report of project 123E344 on differential calculations and deep-learning approaches for ship detection in SAR imagery.
Role: Scholarship recipient