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Hossein Arefi
Hossein Arefi
Mainz University of Applied Sciences
Verified email at hs-mainz.de - Homepage
Title
Cited by
Cited by
Year
A morphological reconstruction algorithm for separating off-terrain points from terrain points in laser scanning data
H Arefi, M Hahn
International Archives of Photogrammetry, Remote Sensing and Spatial …, 2005
1162005
Height estimation from single aerial images using a deep convolutional encoder-decoder network
HA Amirkolaee, H Arefi
ISPRS journal of photogrammetry and remote sensing 149, 50-66, 2019
992019
Comparison of UAS-based photogrammetry software for 3D point cloud generation: a survey over a historical site
F Alidoost, H Arefi
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
942017
2D image-to-3D model: Knowledge-based 3D building reconstruction (3DBR) using single aerial images and convolutional neural networks (CNNs)
F Alidoost, H Arefi, F Tombari
Remote sensing 11 (19), 2219, 2019
812019
Building reconstruction using DSM and orthorectified images
H Arefi, P Reinartz
Remote Sensing 5 (4), 1681-1703, 2013
672013
Accuracy enhancement of ASTER global digital elevation models using ICESat data
H Arefi, P Reinartz
Remote Sensing 3 (7), 1323-1343, 2011
652011
3D building reconstruction using dense photogrammetric point cloud
S Malihi, MJ Valadan Zoej, M Hahn, M Mokhtarzade, H Arefi
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
542016
A CNN-Based Approach for Automatic Building Detection and Recognition of Roof Types Using a Single Aerial Image
F Alidoost, H Arefi
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 86 …, 2018
482018
Levels of detail in 3D building reconstruction from lidar data
H Arefi, J Engels, M Hahn, H Mayer
proceedings of the International Achieves of the Photogrammetry, Remote …, 2008
482008
Simulation of green roofs and their potential mitigating effects on the urban heat island using an artificial neural network: A case study in Austin, Texas
A Asadi, H Arefi, H Fathipoor
Advances in Space Research 66 (8), 1846-1862, 2020
442020
Multiscale building segmentation based on deep learning for remote sensing RGB images from different sensors
M Khoshboresh-Masouleh, F Alidoost, H Arefi
Journal of Applied Remote Sensing 14 (3), 034503-034503, 2020
432020
A novel deep learning framework by combination of subspace-based feature extraction and convolutional neural networks for hyperspectral images classification
T Alipourfard, H Arefi, S Mahmoudi
IGARSS 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018
372018
An image-based technique for 3D building reconstruction using multi-view UAV images
F Alidoost, H Arefi
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015
372015
Rail track detection and projection-based 3D modeling from UAV point cloud
S Sahebdivani, H Arefi, M Maboudi
Sensors 20 (18), 5220, 2020
352020
Iterative approach for efficient digital terrain model production from CARTOSAT-1 stereo images
H Arefi, P d’Angelo, H Mayer, P Reinartz
Journal of Applied Remote Sensing 5 (1), 053527-053527-19, 2011
352011
Multibranch selective kernel networks for hyperspectral image classification
T Alipour-Fard, ME Paoletti, JM Haut, H Arefi, J Plaza, A Plaza
IEEE Geoscience and Remote Sensing Letters 18 (6), 1089-1093, 2020
342020
From LiDAR point clouds to 3D building models
H Arefi
332009
Unmanned aerial vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed …
V Nasiri, AA Darvishsefat, H Arefi, M Pierrot-Deseilligny, M Namiranian, ...
Canadian Journal of Forest Research 51 (7), 962-971, 2021
322021
Modeling forest canopy cover: a synergistic use of Sentinel-2, aerial photogrammetry data, and machine learning
V Nasiri, AA Darvishsefat, H Arefi, VC Griess, SMM Sadeghi, SA Borz
Remote Sensing 14 (6), 1453, 2022
302022
A hierarchical procedure for segmentation and classification of airborne LIDAR images
H Arefi, M Hahn
International Geoscience and Remote Sensing Symposium 7, 4950, 2005
302005
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