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Amin Mohsenifar
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FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net
E Khankeshizadeh, A Mohammadzadeh, A Moghimi, A Mohsenifar
Earth Science Informatics 15 (4), 2335-2347, 2022
242022
A novel unsupervised forest change detection method based on the integration of a multiresolution singular value decomposition fusion and an edge-aware Markov Random Field …
A Mohsenifar, A Mohammadzadeh, A Moghimi, B Salehi
International journal of remote sensing 42 (24), 9376-9404, 2021
222021
A Novel Weighted Ensemble Transferred U-Net based Model (WETUM) for Post-Earthquake Building Damage Assessment from UAV Data: A Comparison of Deep Learning-and Machine Learning …
E Khankeshizadeh, A Mohammadzadeh, H Arefi, A Mohsenifar, ...
IEEE Transactions on Geoscience and Remote Sensing, 2024
22024
An Integrated Unsupervised Change Detection Method Based on the Discrete Wavelet Transform Fusion and An Improved Markov Random Field Model
A Mohsenifar, A Mohammadzadeh, A Moghimi
Journal of Geomatics Science And Technology 10 (3), 165-182, 2021
12021
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
A Moghimi, V Sadeghi, A Mohsenifar, T Celik, A Mohammadzadeh
Sensors 24 (7), 2272, 2024
2024
An Integrated Satellite Stereo Image Registration Method Based on KAZE, VFC and TPS Algorithms
A Mohsenifar, A Sedaghat, A Mohammadzadeh
Journal of Geomatics Science and Technology 11 (1), 51-69, 2021
2021
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Articles 1–6