Saman Ghaffarian

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Prof. Dr. Norman KerleFull Professor of Remote Sensing for Disaster Risk ManagementVerified email at utwente.nl
Tatiana FilatovaProfessor, Delft University of TechnologyVerified email at tudelft.nl
Bedir TekinerdoganProfessor of Software and Systems Engineering, Wageningen University, The NetherlandsVerified email at wur.nl
João ValenteSpanish National Research Council (CSIC)Verified email at csic.es
Malte LechGerman Federal Foreign OfficeVerified email at privat.auswaertiges-amt.de
Mohammadreza SheykhmousaUniversity of TwenteVerified email at alumni.itc.nl
Raphael NawrotzkiAdvisor (M&E), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)Verified email at giz.de
Edoardo PasolliDepartment of Agricultural Sciences, University of Naples Federico IIVerified email at unina.it
Jamal Jokar ArsanjaniProfessor for Geoinformatics and Earth Observation, Aalborg University CopenhagenVerified email at plan.aau.dk
Monika KufferUniversity of Twente, ITCVerified email at utwente.nl
Debraj RoyAssistant Professor, University of AmsterdamVerified email at uva.nl
Yassine RUICHEKProfessor of computer vision, University of Technology of Belfort MontbéliardVerified email at utbm.fr
Yann de MeyWageningen University & ResearchVerified email at wur.nl
Homayoun RezaiePhD Student in Remote Sensing 🛰 University of CalgaryVerified email at ucalgary.ca
Sobhan EmtehaniPhD candidate, Geo-Information and Earth Observation (ITC) Faculty of the University of TwenteVerified email at utwente.nl
MUSTAFA TURKERHacettepe UniversityVerified email at hacettepe.edu.tr
Youssef EL MERABETProfesseur Habilité, Université Ibn TofailVerified email at uit.ac.ma
Firouzeh Rosa TaghikhahLecturer, University of SydneyVerified email at Sydney.edu.au
Holger R MaierProfessor, School of Civil, Environmental and Mining Engineering, The University of AdelaideVerified email at adelaide.edu.au
Michel TsamadosAssociate Professor, CPOM, Departement of Earth Sciences, University College LondonVerified email at ucl.ac.uk

Saman Ghaffarian

Assistant Professor, Institute for Risk and Disaster Reduction, University College London

Verified email at ucl.ac.uk

Disaster Risk Management Artificial Intelligence Digital Twins Remote Sensing Explainable AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review S Ghaffarian, J Valente, M van der Voort, B Tekinerdogan Remote Sensing 13 (15), 2965, 2021	103	2021
Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review S Ghaffarian, N Kerle, T Filatova Remote Sensing 10 (11), 1760, 2018	88	2018
Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data S Ghaffarian, N Kerle, E Pasolli, J Jokar Arsanjani Remote Sensing 11 (20), 2427, 2019	68	2019
Automatic building detection based on supervised classification using high resolution Google Earth images S Ghaffarian The international archives of the photogrammetry, remote sensing and spatial …, 2014	65	2014
Automatic histogram-based fuzzy C-means clustering for remote sensing imagery S Ghaffarian, S Ghaffarian ISPRS Journal of Photogrammetry and Remote Sensing 97, 46-57, 2014	62	2014
Automatic building detection based on Purposive FastICA (PFICA) algorithm using monocular high resolution Google Earth images S Ghaffarian, S Ghaffarian ISPRS Journal of Photogrammetry and Remote Sensing 97, 152-159, 2014	62	2014
Post-Disaster Recovery Assessment with Machine Learning-Derived Land Cover and Land Use Information M Sheykhmousa, N Kerle, M Kuffer, S Ghaffarian Remote Sensing 11 (10), 1174, 2019	50	2019
Agent-based modelling of post-disaster recovery with remote sensing data S Ghaffarian, D Roy, T Filatova, N Kerle International Journal of Disaster Risk Reduction 60, 102285, 2021	48	2021
Post-Disaster Recovery Monitoring with Google Earth Engine S Ghaffarian, A Rezaie Farhadabad, N Kerle Applied Sciences 10 (13), 4574, 2020	33	2020
Towards post-disaster debris identification for precise damage and recovery assessments from UAV and satellite images S Ghaffarian, N Kerle Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 297-302, 2019	32	2019
Machine learning-based farm risk management: A systematic mapping review S Ghaffarian, M van der Voort, J Valente, B Tekinerdogan, Y de Mey Computers and Electronics in Agriculture 192, 106631, 2022	19	2022
Monitoring Urban Deprived Areas with Remote Sensing and Machine Learning in Case of Disaster Recovery S Ghaffarian, S Emtehani Climate 9 (4), 58, 2021	19	2021
Evaluating Resilience-Centered Development Interventions with Remote Sensing N Kerle, S Ghaffarian, R Nawrotzki, G Leppert, M Lech Remote Sensing 11 (21), 2511, 2019	18	2019
Automatic vehicle detection based on automatic histogram-based fuzzy C-means algorithm and perceptual grouping using very high-resolution aerial imagery and road vector data S Ghaffarian, I Gökaşar Journal of Applied Remote Sensing 10 (1), 015011, 2016	15	2016
An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery S Ghaffarian, M Turker International journal of remote sensing 40 (4), 1217-1247, 2019	13	2019
Automatic Building Roof Segmentation Based On PFICA Algorithm and Morphological Filtering From LiDAR Point Clouds S Ghaffarian, S Ghaffarian, Y El merabet, Y Ruichek, Z Samir 37th Asian Conference on Remote Sensing (ACRS’16), Colombo Sri Lanka, 2016	9	2016
Explainable artificial intelligence in disaster risk management: Achievements and prospective futures S Ghaffarian, FR Taghikhah, HR Maier International Journal of Disaster Risk Reduction 98, 104123, 2023	8	2023
Maximal similarity based region classification method through local image region descriptors and Bhattacharyya coefficient-based distance: Application to horizon line detection … Y Ruichek, S Ghaffarian, Z Samir, T Boujiha, R Messoussi, R Touahni, ... Neurocomputing 265, 28-41, 2017	8	2017
Post-disaster recovery assessment using multi-temporal satellite images with a deep learning approach S Ghaffarian, N Kerle 39th Annual EARSeL Conference & 43rd General Assembly 2019, 2019	6	2019
Monitoring Forest Resilience Dynamics from Very High-Resolution Satellite Images in Case of Multi-Hazard Disaster R Rezaei, S Ghaffarian Remote Sensing 13 (20), 4176, 2021	4	2021

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