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Journal Articles
- 2022
[j10]Sahim Giray Kivanç, Baha Sen
, Ali Özgün Ok, Fatih Nar:
Fusing Census and MC-CNN Cost Volumes for Stereo Matching. Balt. J. Mod. Comput. 10(2) (2022)- 2021
- [j9]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. IEEE Geosci. Remote. Sens. Lett. 18(2): 231-235 (2021) - [j8]Ayse Nurdan Saran, Murat Saran, Fatih Nar:
Distribution-preserving data augmentation. PeerJ Comput. Sci. 7: e571 (2021) - 2020
- [j7]Gülay Aksoy, Fatih Nar:
Multiplicative-additive despeckling in SAR images. Turkish J. Electr. Eng. Comput. Sci. 28(4): 1871-1885 (2020) - [j6]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls:
Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5480-5488 (2020) - 2018
- [j5]Fatih Nar, Osman Erman Okman, Atilla Özgür, Müjdat Çetin:
Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables. Digit. Signal Process. 77: 86-101 (2018) - [j4]Atilla Özgür, Fatih Nar, Hamit Erdem:
Sparsity-driven weighted ensemble classifier. Int. J. Comput. Intell. Syst. 11(1): 962-978 (2018) - [j3]Fatih Nar, Osman Erman Okman, Atilla Özgür, Müjdat Çetin:
RmSAT-CFAR: Fast and accurate target detection in radar images. SoftwareX 8: 39-42 (2018) - 2016
- [j2]Caner Ozcan, Baha Sen, Fatih Nar:
Sparsity-Driven Despeckling for SAR Images. IEEE Geosci. Remote. Sens. Lett. 13(1): 115-119 (2016) - [j1]Fatih Nar, Atilla Özgür, Ayse Nurdan Saran:
Sparsity-Driven Change Detection in Multitemporal SAR Images. IEEE Geosci. Remote. Sens. Lett. 13(7): 1032-1036 (2016)
Conference and Workshop Papers
- 2024
- [c24]Selen Çigdem, Fatih Nar, Dmitry Kudinov:
Differentiable Boundary Regularization. IGARSS 2024: 4662-4665 - 2021
- [c23]Sahim Giray Kivanç, Baha Sen, Ali Özgün Ok, Fatih Nar:
Performance Evaluation of Semi-Global Approaches for the Dense Image Matching of Stereo Satellite Images. SIU 2021: 1-4 - [c22]Murat Saran, Fatih Nar, Ayse Nurdan Saran:
Perlin Random Erasing for Data Augmentation. SIU 2021: 1-4 - 2020
- [c21]Fatih Nar, Atilla Özgür:
Information-theoretic non-uniformity correction of infrared image sequences. SIU 2020: 1-4 - [c20]Atilla Özgür, Fatih Nar:
Effect of Dropout layer on Classical Regression Problems. SIU 2020: 1-4 - 2018
- [c19]Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls:
Sparsity-Driven Digital Terrain Model Extraction. IGARSS 2018: 1316-1319 - [c18]Gizem Aktas, Fatih Nar, Fatos Tünay Yarman Vural:
Correlation-Based Variational Change Detection for Elevation Models. IGARSS 2018: 1930-1933 - [c17]Fatih Nar, Adrian Perez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for Target Detection. IGARSS 2018: 4237-4240 - [c16]José Antonio Padrón-Hidalgo, Adrian Perez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook Distance for Anomalous Change Detection. IGARSS 2018: 5025-5028 - 2017
- [c15]Gülay Aksoy, Fatih Nar:
Sparsity-driven multiplicative noise reduction. SIU 2017: 1-4 - [c14]Atilla Özgür, Ayse Nurdan Saran, Fatih Nar:
Parallelization of Sparsity-driven Change Detection method. SIU 2017: 1-4 - 2016
- [c13]Çagdas Bak, Mustafa Ergul, Gizem Aktas, Fatih Nar:
DSM extraction using variational methods. SIU 2016: 265-268 - [c12]Caner Ozcan, Baha Sen, Fatih Nar:
Sparsity-driven despeckling method with low memory usage. SIU 2016: 1329-1332 - [c11]Ferhat Atasoy, Baha Sen, Fatih Nar, Caner Ozcan, Ismail Bozkurt:
Total variation based 3D skull segmentation. SIU 2016: 1353-1356 - 2015
- [c10]Gizem Aktas, Çagdas Bak, Fatih Nar, Nigar Sen:
Land-cover classification in SAR images using dictionary learning. SAR 2015: 964205 - [c9]Caner Ozcan, Baha Sen, Fatih Nar:
Early-exit optimization using mixed norm despeckling for SAR images. SIU 2015: 779-782 - [c8]Mustafa Ergul, Fatih Nar, Emre Akyilmaz, Nigar Sen, Müjdat Çetin:
Information-theoretic noisy band detection in hyperspectral imagery. SIU 2015: 2635-2638 - 2014
- [c7]Caner Ozcan, Baha Sen, Fatih Nar:
Fast feature preserving despeckling. SIU 2014: 1007-1010 - [c6]Ferhat Atasoy, Fatih Nar, Baha Sen, Mahmut Ferat:
Scattered data estimation on medical images for cranioplasty applications. SIU 2014: 1682-1685 - 2013
- [c5]Emre Akyilmaz, Can Demirkesen, Fatih Nar, Osman Erman Okman, Müjdat Çetin:
Interactive ship segmentation in SAR images. SIU 2013: 1-4 - 2012
- [c4]Emre Akyilmaz, Osman Erman Okman, Fatih Nar, Müjdat Çetin:
Automatic and semi-automatic extraction of curvilinear features from SAR images. SAR 2012: 853617 - 2008
- [c3]Erkan U. Mumcuoglu, Fatih Nar, Omer Ugur, M. Fani Bozkurt, Mehmet Aslan:
Image-based retrieval system and computer-aided diagnosis system for renal cortical scintigraphy images. Computer-Aided Diagnosis 2008: 69153J - 2005
- [c2]Erkan U. Mumcuoglu, Fatih Nar, Yasemin Yardimci, Umut Koçak, Eser Lay Ergun, Bilge Volkan, Omer Ugur, Belkis Erbas:
Simultaneous triple-registration of ictal SPECT, interictal SPECT and MR images for epilepsy studies: Method and validation. EUSIPCO 2005: 1-4 - 2003
- [c1]Fatih Nar, Atilim Çetin:
Generalization and Localization Based Style Imitation for Grayscale Images. ISCIS 2003: 465-473
Informal and Other Publications
- 2020
- [i6]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. CoRR abs/2012.05799 (2020) - [i5]Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls:
Sparsity-driven Digital Terrain Model Extraction. CoRR abs/2012.08639 (2020) - [i4]José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook distance for Anomalous Change Detection. CoRR abs/2012.12307 (2020) - [i3]Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for target detection. CoRR abs/2012.12308 (2020) - 2018
- [i2]Fatih Nar:
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm. CoRR abs/1801.04751 (2018) - 2016
- [i1]Atilla Özgür, Hamit Erdem, Fatih Nar:
Sparsity-driven weighted ensemble classifier. CoRR abs/1610.00270 (2016)
Coauthor Index
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