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Saman Ghaffarian
Saman Ghaffarian
Assistant Professor, Department of Risk and Disaster Reduction, University College London
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1552021
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
1032018
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
802021
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
792019
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
702014
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
672014
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
642014
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
592019
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
532023
Post-Disaster Recovery Monitoring with Google Earth Engine
S Ghaffarian, A Rezaie Farhadabad, N Kerle
Applied Sciences 10 (13), 4574, 2020
432020
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
402019
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
322022
Monitoring Urban Deprived Areas with Remote Sensing and Machine Learning in Case of Disaster Recovery
S Ghaffarian, S Emtehani
Climate 9 (4), 58, 2021
262021
Evaluating Resilience-Centered Development Interventions with Remote Sensing
N Kerle, S Ghaffarian, R Nawrotzki, G Leppert, M Lech
Remote Sensing 11 (21), 2511, 2019
212019
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
172019
Digital Post-Disaster Risk Management Twinning: A Review and Improved Conceptual Framework
U Lagap, S Ghaffarian
International Journal of Disaster Risk Reduction, 104629, 2024
162024
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
152016
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
102016
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
92021
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
82017
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