Reza Shah-Hosseini
Reza Shah-Hosseini
Assistant Professor, University of Tehran, College of Engineering, School of Surveying and Geospatial Engineering, Tehran, Iran
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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