Items where Author is "Soğanlı, Abdurrahim"

Soğanlı, Abdurrahim and Erçetin, Özgür and Çetin, Müjdat (2015) On the quality and timeliness of fusion in a random access sensor network. IEEE Signal Processing Letters, 22 (9). pp. 1259-1263. ISSN 1070-9908 (Print) 1558-2361 (Online)

Soğanlı, Abdurrahim and Çetin, Müjdat (2015) Low-rank sparse matrix decomposition for sparsity-driven SAR image reconstruction. In: 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa 2015), Pisa, Italy

Soğanlı, Abdurrahim and Çetin, Müjdat (2015) Sparsity-driven SAR image reconstruction via low-rank sparse matrix decomposition (Seyreklik güdümlü SAR görüntü geriçatımı için düşük sıralı seyrek matris ayrışımı). In: 23th Signal Processing and Communications Applications Conference (SIU 2015), Malatya

Soğanlı, Abdurrahim and Çetin, Müjdat (2014) Dictionary learning for sparsity-driven sar image reconstruction. In: IEEE International Conference on Image Processing (ICIP), Paris, France

Soğanlı, Abdurrahim (2014) Dictionary learning and low-rank sparse matrix decomposition for sparsity driven SAR image reconstruction. [Thesis]

Soğanlı, Abdurrahim and Uzunbaş, Mustafa Gökhan and Çetin, Müjdat (2014) Combining learning-based intensity distributions with nonparametric shape priors for image segmentation. Signal, Image and Video Processing, 8 (4). pp. 789-798. ISSN 1863-1703 (Print) 1863-1711 (Online)

Soğanlı, Abdurrahim and Çetin, Müjdat (2014) Dictionary learning-based approach for sar image reconstruction (Sar imgelerinin geri çatılması için sözlük öğrenimi tabanlı bir yöntem). In: 22nd Signal Processing and Communications Applications Conference (SIU 2014), Trabzon, Turkey

Soğanlı, Abdurrahim and Uzunbaş, M. Gökhan and Çetin, Müjdat (2012) Türdeş yoğunlukta olmayan arkaplan ve önplana sahip nesnelerin olasılık yoğunluk fonksiyonu tabanlı veri terimi ve parametrik olmayan şekil önbilgisi kullanılarak bölütlenmesi (Segmentation of inhomogeneous foreground and background intensity objects using a probability density function based data term and nonparametric shape priors). In: IEEE 20th Conference on Signal Processing and Communications Applications (SIU 2011), Muğla, Turkey