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Reza Shah-Hosseini
Reza Shah-Hosseini
Assistant Professor, University of Tehran, College of Engineering, School of Surveying and Geospatial Engineering, Tehran, Iran
Verified email at ut.ac.ir
Title
Cited by
Cited by
Year
Active fire detection from landsat-8 imagery using deep multiple kernel learning
A Rostami, R Shah-Hosseini, S Asgari, A Zarei, M Aghdami-Nia, ...
Remote Sensing 14 (4), 992, 2022
472022
Development and evaluation of a deep learning model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery
MK Masouleh, R Shah-Hosseini
ISPRS Journal of Photogrammetry and Remote Sensing 155, 172-186, 2019
452019
Classification of polarimetric SAR images using Support Vector Machines
R Shah Hosseini, I Entezari, S Homayouni, M Motagh, B Mansouri
Canadian Journal of Remote Sensing 37 (2), 220-233, 2011
432011
Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net
M Aghdami-Nia, R Shah-Hosseini, A Rostami, S Homayouni
International Journal of Applied Earth Observation and Geoinformation 109 …, 2022
322022
A hybrid kernel-based change detection method for remotely sensed data in a similarity space
R Shah-Hosseini, S Homayouni, A Safari
Remote Sensing 7 (10), 12829-12858, 2015
312015
Earthquake damage region detection by multitemporal coherence map analysis of radar and multispectral imagery
M Hasanlou, R Shah-Hosseini, ST Seydi, S Karimzadeh, M Matsuoka
Remote Sensing 13 (6), 1195, 2021
272021
Fusion of deep learning with adaptive bilateral filter for building outline extraction from remote sensing imagery
MK Masouleh, R Shah-Hosseini
Journal of Applied Remote Sensing 12 (4), 046018-046018, 2018
262018
A hyperspectral anomaly detection framework based on segmentation and convolutional neural network algorithms
B Hosseiny, R Shah-Hosseini
International Journal of Remote Sensing 41 (18), 6946-6975, 2020
212020
Modified algorithm based on support vector machines for classification of hyperspectral images in a similarity space
R Shah Hosseini, S Homayouni, R Safari
Journal of Applied Remote Sensing 6 (1), 063550-063550, 2012
212012
Validation of non-linear split window algorithm for land surface temperature estimation using Sentinel-3 satellite imagery: Case study; Tehran Province, Iran
A Zarei, R Shah-Hosseini, S Ranjbar, M Hasanlou
Advances in Space Research 67 (12), 3979-3993, 2021
202021
Building panoptic change segmentation with the use of uncertainty estimation in squeeze-and-attention CNN and remote sensing observations
M Khoshboresh-Masouleh, R Shah-Hosseini
International Journal of Remote Sensing 42 (20), 7798-7820, 2021
192021
A SVMS-based hyperspectral data classification algorithm in a similarity space
RS Hosseini, S Homayouni
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009
182009
New framework for hyperspectral change detection based on multi-level spectral unmixing
ST Seydi, R Shah-Hosseini, M Hasanlou
Applied Geomatics 13 (4), 763-780, 2021
162021
A sub-pixel multiple change detection approach for hyperspectral imagery
M Hasanlou, ST Seydi, R Shah-Hosseini
Canadian Journal of Remote Sensing 44 (6), 601-615, 2018
162018
A deep learning method for near-real-time cloud and cloud shadow segmentation from gaofen-1 images
M Khoshboresh-Masouleh, R Shah-Hosseini
Computational Intelligence and Neuroscience 2020, 2020
152020
Corn forage yield prediction using unmanned aerial vehicle images at mid-season growth stage
H Fathipoor, H Arefi, R Shah-Hosseini, H Moghadam
Journal of Applied Remote Sensing 13 (3), 034503-034503, 2019
152019
Environmental monitoring based on automatic change detection from remotely sensed data: kernel-based approach
R Shah-Hosseini, S Homayouni, A Safari
Journal of Applied Remote Sensing 9 (1), 095992-095992, 2015
152015
A hybrid deep learning–based model for automatic car extraction from high-resolution airborne imagery
M Khoshboresh Masouleh, R Shah-Hosseini
Applied Geomatics 12 (2), 107-119, 2020
132020
A deep multi-modal learning method and a new RGB-depth data set for building roof extraction
M Khoshboresh-Masouleh, R Shah-Hosseini
Photogrammetric Engineering & Remote Sensing 87 (10), 759-766, 2021
122021
Deep learning-based change detection method for environmental change monitoring using sentinel-2 datasets
M Ahangarha, R Shah-Hosseini, M Saadatseresht
Environmental Sciences Proceedings 5 (1), 15, 2020
122020
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