Publications in International Journals

IEEE Transactions on Geoscience and Remote Sensing, : IEEE Transactions on Geoscience and Remote Sensing Print ISSN: 0196-2892 Online ISSN: 1558-0644 Digital Object Identifier: 10.1109/TGRS.2020.3010441. Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs F. Ozcelik, U. Alganci, E. Sertel and G. Unal Abstract: Convolutional neural network (CNN)-based approaches …

Remote Sensing, Vol. 12, No. 3, 458, 2020 Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images U. Alganci, M. Soydas, E. Sertel Abstract: Object detection from satellite images has been a challenging problem for many years. With the development of effective deep learning algorithms …

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, cilt.16, sa.5, ss.766-770, 2019 Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis Erten E. , Taşkın Kaya G. , Lopez-Sanchez J. M. Abstract: The role of global sensitivity analysis (GSA) is to quantify and rank the most influential features …

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, cilt.74, ss.57-64, 2019 The worsening impacts of land reclamation assessed with Sentinel-1: The Rize (Turkey) test case Erten E. , Rossi C. Abstract: Massive amounts of land are being reclaimed to build airports, new cities, ports, and highways. Hundreds of kilometers are …

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, cilt.11, sa.9, ss.3001-3013, 2018 Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Models Yüzügüllü O., Erten E. , Hajnsek I. Abstract: This paper investigates the evolution of canopy height of rice fields for a complete …

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion YUZUGULLU O., Marelli S., Erten E. , Sudret B., HAJNSEK I. Abstract: Rice crops are important in the global food economy, and new techniques are being implemented for their effective management. These techniques rely mainly on the changes in …

REMOTE SENSING OF ENVIRONMENT, cilt.192, ss.30-44, 2017 Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data Lopez-Sanchez J. M. , Vicente-Guijalba F., Erten E. , Campos-Taberner M., Javier Garcia-Haro F. Abstract: This work presents for the first time a demonstration with satellite data of polarimetric …

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, cilt.10, sa.1, ss.194-204, 2017 Estimation of Rice Crop Height From X- and C-Band PolSAR by Metamodel-Based Optimization Yuzugullu O., Erten E. , HAJNSEK I. Abstract: Rice crops are important in global food economy and are monitored by precise …

REMOTE SENSING OF ENVIRONMENT, cilt.187, ss.130-144, 2016 Retrieval of agricultural crop height from space: A comparison of SAR techniques Erten E. , LOPEZ-SANCHEZ J. M. , YUZUGULLU O., HAJNSEK I. Abstract: This paper deals with the retrieval of agricultural crop height from space by using multipolarization Synthetic Aperture Radar (SAR) …

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, cilt.9, sa.6, ss.2509-2519, 2016 Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images Çağlar Küçük; Gülşen Taşkın; Esra Erten Abstract: Crop monitoring and phenology estimation based on the satellite systems have become an important …