Abbasi, H.; Arefi, H.; Bigdeli, B.
A Dimension Reduction-Based Method for Classification of Hyperspectral and LIDAR DataThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 40. 2015 S. 1 - 4
Tatar, Nurollah; Saadatseresht, Mohammed; Arefi, Hossein et al.
A New Object-Based Framework to Detect Shodows in High-Resolution Satellite Imagery Over Urban AreasThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 40. 2015 S. 713 - 717
Sajadian, M.; Arefi, H.
A Non-Parametric Method for 3D Building Reconstruction Using Airborne Laser Scanner Point CloudsJournal of Geomatics Science and Technology. Bd. 5. H. 2. 2015 S. 167 - 180
Afsharnia, Hamed; Hadavand, Ahmad; Arefi, Hossein
A TIN-based filtering algorithm to create DTM from LiDAR DSMTehran. 2015
Afsharnia, H.; Azizi, A.; Arefi, H.
Accuracy improvement by the least squares image matching evaluated on the cartosat-1The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 40. 2015 S. 11 - 14
Basili, Victor; Trendowicz, Adam; Kowalczyk, Martin et al.
Aligning Organizations through Measurement: The GQM+Strategies ApproachTokyo. 2015
Alidoost, Fatemeh; Arefi, Hossein
An image-based technique for 3D building reconstruction using multi-view UAV imagesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 40. 2015 S. 43 - 46
Mirzaee, S.; Motagh, M.; Arefi, H.
Assessment of Reference Height Models on Quality of Tandem-X demThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science. Bd. 40. 2015 S. 463 - 466
Kuroczyński, Piotr
Auf den Triple-Pfaden ins gebaute Kulturerbe – Digitale 3D Rekonstruktion der Barockschlösser im ehemaligen Ostpreußen (Vortrag)Vortrag bei der 23. Tagung des Arbeitskreises deutscher und polnischer Kunsthistoriker und Denkmalpfleger, Adam-Mickiewicz Universität Poznań/Posen, 07. – 10.10.2015. Posen. 2015
Abbasi, B.; Arefi, H.; Bigdeli, B. et al.
Automatic generation of training data for hyperspectral image classification using Support Vector MachineThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 40. 2015 S. 575 - 580