Publications (Google Scholar Profile)
Journal Paper
[1] Q. Zhao, A. Pepe, V. Zamparelli, P. Mastro, F. Falabella, C. Serio, G. Masiello, S. Abdikan, C. Bayik, F. B. Sanli, M. Ustuner, N. B. Avsar, J. Wang, P. Chen, Z. Li, A. T. Devlin and F. Calò. Innovative Remote Sensing Methodologies and Applications in Coastal and Marine Environments Geo-Spatial Information Science, 2023, doi:10.1080/10095020.2023.2244006
[2] N. H. Zakaria, N. A. Ishak, S. A. Salleh , N. A. Isa, E. Suhana, M. C. G. Ooi, Z. A. Latif and M. Ustuner. Conceptualizing Spatial Heterogeneity of Urban Composition Impacts on Precipitation Within Tropics International Journal of Sustainable Construction Engineering and Technology, 2023, Retrieved from https://penerbit.uthm.edu.my/ojs/index.php/IJSCET/article/view/13987
[3] M. Ustuner. Çekirdek Tabanlı A ̧sırı Ö ̆grenme Makinesi ile Hiperspektral Görüntü Sınıflandırma (Kernel Extreme Learning Machine for Hyperspectral Image Classification) Turkish Journal of Remote Sensing and GIS, September, 2023.
[4] A. Ertürk, G. Taskin, A. Ö. Ok, M. Ustuner and K. Kayabol. 2021 IEEE GRSS Turkey Chapter Activities [Chapters] IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 1, pp. 352- 354, March 2022
[5] M. Ustuner and F. B. Sanli. Crop classification from multi-temporal PolSAR data with regularized greedy forest, Advanced Remote Sensing,1(1):10-15, December 2021
[6] M. Ustuner ve F. B. Sanli. Hafif Gradyan Artırma Makineleri ile Tarımsal Ürünlerin Sınıflandırılması (Crop Classification Using Light Gradient Boosting Machines), Turkish Journal of Remote Sensing and GIS, September 2020.
[7] M. Ustuner ve F. B. Sanli. Çok zamanlı polarimetrik SAR verileri ile tarımsal ürünlerin sınıflandırılması (Crop classification using multi-temporal polarimetric SAR data) Journal of Geodesy and Geoinformation, 7(1):1-10, May 2020.
[8] M. Ustuner and F. B. Sanli. Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation. ISPRS International Journal of Geo-Information,8(2):97, February 2019
[9] R. Nasirzadehdizaji.,F. B. Sanli, S. Abdikan, Z. Cakir, A.I. Sekertekin and M. Ustuner. Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage. Applied Sciences, 9(4):655, February 2019
[10] M. T. Esetlili.,F. B. Balcik, F. B. Sanli, M. Ustuner, K. Kalkan, C. Goksel„C. Gazioglu, and Y. Kurucu. Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey. International Journal of Environment and Geoinformatics, 5(2):231-243, August 2018
[11] M. Ustuner and F. B. Sanli. Evaluating Training Data For Crop Type Classification Using Support Vector Machines And Random Forests. Geodetski Glasnik, 48(1):125-133, November 2017
[12] M. Ustuner., M. T. Esetlili, F. B. Sanli, S. Abdikan, and Y. Kurucu. Comparison of Crop Classification Methods for the Sustainable Agriculture Management. Journal of Environmental Protection and Ecology, 17(2):648–655, July 2016
[13] M. Ustuner., F. B. Sanli, and B. Dixon. Application of Support Vector Machines for Landuse Clas- sification Using High-Resolution RapidEye Images: A Sensitivity Analysis. European Journal of Remote Sensing, 48(1):403–422, November 2015
[14] S. Abdikan., G. Bilgin, F. B. Sanli, E. Uslu, and M. Ustuner. Enhancing land use classification with fusing dual-polarized TerraSAR-X and multispectral RapidEye data Journal of Applied Remote Sensing, 9(1):096054, May 2015
Conference Paper
[15] M. Ustuner. Randomized Principal Component Analysis for Hyperspectral Image Classification (submitted) In: Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 2024 (M2GARSS 2024), Oran, Algeria, April 15 – 17, 2024
[16] M. Ustuner. Synergistic Use of Optical and Synthetic Aperture Radar Data for Improving Land Cover Classification: a case study for Munich In: 8th International Scientific Conference “Telecommunications, Informatics, Energy and Management” – TIEM 2023, Bandırma, Turkey, December 1 – 3, 2023
[17] M. Ustuner. Classification of Urban Areas Using Gaofen-3 SAR Data By LightGBM In: XXIII Conference of PhD Students and Young Scientists, Wrocław, Poland, June 13 – 15, 2023.
[18] M. Ustuner. Polarimetrik SAR Görüntülerinin Rotasyon Orman Algoritması ile Sınıflandırılması (Classification of Polarimetric SAR Images with Rotation Forest Algorithm). In: TUFUAB 12. Teknik Sempozyumu, 24-26 May, 2023.
[19] S.R. Reyes, C. Cruz, M. Ustuner, C. Jjuuko and S. Guliyeva. Creative Strategies in Navigating the New Normal: Advancing the Contributions of the ISPRS Student Consortium as an International Organization In: 2021 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission V and Youth Forum, 5-9 July, 2021. doi:10.5194/isprs-annals-V-5-2021-23-2021
[20] A. Acar Sahin,M. Ustuner, and N. M. Pinar. The impact of environmental factors and tree cover density on allergenic Cupressaceae and Platanuspollen exposure in urbanized region: Ankara case. In: 7th European Symposium on Aerobiology, 16-20 November, 2020.
[21] S. Abdikan, C. Bayik, M. Ustuner, and F. B. Sanli. Repeat-pass interferometric and backscatter analysis of X-band PAZ satellite-First results. In: 2020 24th ISPRS Congress - Technical Com- mission III, 31 August- 2 September, 2020. doi:10.5194/isprs-archives-XLIII-B3-2020-253-2020
[22] S.R. Reyes, A.K.M. Jaojoco, C. Cruz, C. Jjuuko, M. Ustuner, J.C.K. Chow and S. Guliyeva. The ISPRS Student Consortium: Sustaining Relevance and Creating Shared Visions for the Youth. In: 2020 24th ISPRS Congress - Technical Commission V (TC-V) on Education and Outreach - Youth Forum, 31 August- 2 September, 2020. doi:10.5194/isprs-annals-V-5-2020-39-2020
[23] M. Ustuner and F. B. Sanli. Multitemporal SAR Classification of Urban Areas using Extremely Randomized Trees. In: Abstract book of International Symposium on Applied Geoinformatics (ISAG-2019), Published in November, 2019. (Only abstract published)
[24] M. Ustuner and F. B. Sanli. Regularized Greedy Forests for Polarimetric SAR Image Classifica- tion. In: Abstract book of XXIX International Symposium on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields, Published in November, 2019. (Only abstract published)
[25] M. Ustuner, F. B. Sanli, S. Abdikan, G. Bilgin and C. Goksel. A booster analysis of extreme gradient boosting for crop classification using PolSAR imagery. In: 8th International Confer- ence on Agro-Geoinformatics, Agro-Geoinformatics 2019, July 16-19, 2019. doi:10.1109/Agro- Geoinformatics.2019.8820698
[26] S. Abdikan, C. Bayik, M. Ustuner, and F. B. Sanli. An Assessment of Urban Area Extraction Using ALOS-2 Data. In: 9th International Conference on Recent Advances in Space Technologies, RAST2019, June 11-14, 2019. doi:10.1109/RAST.2019.8767819
[27] M. Ustuner., S. Abdikan, and F. B. Sanli. Classification of Forested Areas Using Morphological Profiles in Dual Polarised ALOS/PALSAR Data. In: Proceedings of the IX Conference of the Italian Society of Remote Sensing (AIT2018), Published in July, 2019.
[28] M. Ustuner, F. B. Sanli, S. Abdikan, E. Erten and C. Lopez-Martinez. Evaluating the Cloude-Pottier Decomposition for Crop Classification using Multi-Temporal Radarsat-2 Data. In: POLinSAR 2019, 9th International Workshop on Science and Applications of SAR Polarimetry and Polari- metric Interferometry, January 28-February 1, 2019 (Only extended abstract published)
[29] F. B. Sanli, A. Delen, M. Ustuner, C. Bayik and S. Abdikan. Monitoring Urban Green Space Using Göktürk-2 Data: A Case Study For Edirne City. In: The 2nd International Urban, Environment and Health Congress , 2018 (Only abstract published)
[30] M. Ustuner, F. B. Sanli, S. Abdikan, and G. Bilgin. An Application of Roll-invariant Polarimetric Features For Crop Classification From Multi-temporal RADARSAT-2 SAR Data. In: Proceed- ings of the ISPRS TC I Midterm Symposium Innovative Sensing - From Sensors to Methods and Applications, October 10-12, 2018, doi:10.5194/isprs-archives-XLII-1-451-2018
[31] S. Abdikan, AI. Sekertekin, M. Ustuner, and F. B. Sanli. Backscatter Analysis Using Multi- Temporal Sentinel-1 SAR Data for crop growth of maize in Konya Basin, Turkey. In: Proceedings of the ISPRS Technical Commission III Symposium on “Developments, Technologies and applica- tions in Remote Sensing”, May 7–10, 2018 doi:10.5194/isprs-archives-XLII-3-9-2018
[32] U. Gokdag, M. Ustuner, G. Bilgin, and F. B. Sanli. Kernel Extreme Learning Machines for PolSAR Image Classification using Spatial Features. In: Proceedings of the IEEE 26th Signal Processing and Communications Applications Conference (SIU2018), May,2018. doi:10.1109/SIU.2018.8404282
[33] M. Ustuner, U. Gokdag, G. Bilgin, and F. B. Sanli. Comparing the Classification Performances of Supervised Classifiers with Balanced and Imbalanced SAR Data Sets. In:Proceedings of the IEEE 26th Signal Processing and Communications Applications Conference (SIU2018), May,2018.
[34] M. Ustuner., G. Bilgin, and F. B. Sanli. Classification of Sentinel-1A SAR Data Using Principal Component Analysis and Kernel Principal Component Analysis. In: Proceedings of the Inter- national Symposium on GIS Applications in Geography and Geosciences (ISGGG 17), October 18–21, 2017.
[35] M. Ustuner., F. B. Sanli, G. Bilgin, and S. Abdikan. Land use and cover classification of Sentinel- IA SAR imagery: A case study of Istanbul. In: Proceedings of the IEEE 25th Signal Processing and Communications Applications Conference (SIU2017), May 15–18, 2017.
[36] Abdikan, S., M. Ustuner, F. B. Sanli, and G. Bilgin. Combining Landsat and ALOS data for land cover mapping. In: Proceedings of the IEEE 25th Signal Processing and Communications Applications Conference (SIU2017), May 15–18, 2017. doi:10.1109/SIU.2017.7960379
[37] M. Ustuner ve F. B. Sanli. LANDSAT-8 Uydu Görüntüsü ile Arazi Örtüsü Sınıflandırmasında Makine Öğrenme Algoritmalarının Kullanımı. In: 16.TÜRK ̇IYE HAR ̇ITA B ̇IL ̇IMSEL VE TEKN ̇IK KURULTAYI, 3-6 Mayıs, 2017.
[38] M. Ustuner., F. B. Sanli, and S. Abdikan. Balanced vs Imbalanced Training Data: Classifying Rapideye Data With Support Vector Machines. In: Proceedings of the XXIII ISPRS Congress (IS- PRS 16), July 12–19, 2016. doi:10.5194/isprs-archives-XLI-B7-379-2016
[39] Abdikan, S., F. B. Sanli, M. Ustuner,and F. Calo. Land Cover Mapping Using Sentinel-1 SAR Data. In: Proceedings of the XXIII ISPRS Congress (ISPRS 16), July 12–19, 2016. doi:10.5194/isprs- archives-XLI-B7-757-2016
[40] M. Ustuner, F. B. Sanli ve S. Abdikan. Bitki Örtüsü ̇Indekslerinin Tarımsal Ürün Deseni Tespitin- deki Etkisinin Ara ̧stırılması. In: 6. Uzaktan Algılama Ve Cografi Bilgi Sistemleri Sempozyumu (Uzal-Cbs 2016), 5-7 Ekim, 2016.
[41] M. Ustuner and G. Bilgin. Mitosis detection on histopathological images using statistical detection algorithms. In: Proceedings of the IEEE 23rd Signal Processing and Communications Applications Conference (SIU2015), pp. 540-543, May 16–19, 2015. doi:10.1109/SIU.2015.7129880.
[42] F. B. Sanli, M. Ustuner, F. B. Balcik, and C. Goksel. Investigating the Influence of Training Set Size for Crop Type Classification using RapidEye. In: Proceedings of the 27th International Cartographic Conference (ICC 2015), August, 2015.
[43] Balcik, F. B., F. B. Sanli, C. Goksel, and M. Ustuner. Coastal Zone Detection in Istanbul using Landsat 8 OLI Image. In: Proceedings of the 27th International Cartographic Conference (ICC 2015), August, 2015.
[44] M. Ustuner., and F. B. Sanli. Testing the Sensitivity of Vegetation Indices for Crop Type Classifi- cation using RapidEye Imagery In: Proceedings of the FIG Working Week 2015 (FIG 2015), May 17–21, 2015.
[45] Polat, Z.A, M. Ustuner, and M. Alkan. On the Way to Vision of Cadastre 2034: Cadastre 2014 Performance of Turkey In: Proceedings of the FIG Working Week 2015 (FIG 2015), May 17–21, 2015.
[46] M. Ustuner, F. B. Sanli ve S. Abdikan. Spektral Band ve Bitki Indeksi Seçiminin Ürün Deseni Sınıflandırma Dogruluğuna Etkisi: Karsılastırmalı Analiz. In: TUFUAB 8. Teknik Sempozyumu, 21-23 Mayıs, 2015.
[47] M. Ustuner., and F. B. Sanli. Crop Pattern Mapping Using Winner Takes All Classification In: Wave- length 2015. RSPSoc April, 2015.
[48] M. Ustuner., F. B. Sanli, S. Abdikan, T. Esetlili, and Y. Kurucu. Crop Type Classification Using Vegetation Indices of RapidEye Imagery. In: Proceedings of the ISPRS Technical Commission VII Symposium, September 29– October 2, 2014. doi:10.5194/isprsarchives-XL-7-195-2014
[49] T. Bakırman, G. Bilgin, F. B. ̧Sanlı, E. Uslu and M. Ustuner. Fusion and classification of synthetic aparture radar and multispectral sattellite data. In: Proceedings of the 2014 22nd Signal Process- ing and Communications Applications Conference (SIU2014), pp. 754-757, April 23–25, 2014.
[50] M. Ustuner, F. B. Sanli, S. Abdikan, T. Esetlili, and Y. Kurucu. Kirmizi-kenar ve Yakin Kizilötesi Bantlarinin Tarimsal Ürün Deseni Siniflandirma Dogrulu ̆guna olan Etkisinin Ara ̧stirilmasi: Rapid- Eye Ornegi. 5. Uzaktan Algılama-CBS Sempozyumu (UZAL-CBS 2014), 2014.
[51] Sanli, F. B., S. Abdikan, T. Esetlili, M. Ustuner, and F. Sunar. Fusion of terrasar-x and rapideye data: a quality analysis. In: Proceedings of the ISPRS Conference on Serving Society with Geoin- formatics (ISPRS2013-SSG), November 11– 17, 2013. doi:10.5194/isprsarchives-XL-7-W2-27-2013
[52] M. Ustuner, F. B. Sanli, F.B. Balçık and T. Esetlili. Destek Vektör Makineleri Teknigi ile Sınıflandırma:RAPIDEYE Örneği Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birligi VII. Teknik Sempozyumu (TUFUAB 2013) , 2013.
[53] B. Bayram and M. Ustuner. YENİDEN ÖRNEKLEMENİN SINIFLANDIRMA SONUCUNA ETKİSİ Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birligi VII. Teknik Sempozyumu (TUFUAB 2013) , 2013.
[54] M. Ustuner., and F. B. Sanli. Comparison of Neural Network and ISODATA Classifiers for Land Cover Assessment Using Optical Data In: Proceedings of the FIG Commission 3 Workshop 2012 Spatial Information, Informal Development, Property and Housing,December 10– 14, 2012.