| Pine plantation structure mapping using WorldView-2 multispectral image A Shamsoddini, JC Trinder, R Turner International Journal of Remote Sensing 34 (11), 3986-4007, 2013 | 69 | 2013 |
| Image texture preservation in speckle noise suppression A Shamsoddini, JC Trinder, W Wagner, B Székely na, 2010 | 68 | 2010 |
| Extracting hurricane eye morphology from spaceborne SAR images using morphological analysis IK Lee, A Shamsoddini, X Li, JC Trinder, Z Li ISPRS Journal of Photogrammetry and Remote Sensing 117, 115-125, 2016 | 56 | 2016 |
| Improving lidar-based forest structure mapping with crown-level pit removal A Shamsoddini, R Turner, JC Trinder Journal of Spatial Science 58 (1), 29-51, 2013 | 38 | 2013 |
| Tehran air pollutants prediction based on random forest feature selection method A Shamsoddini, MR Aboodi, J Karami The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 37 | 2017 |
| Crop mapping through a hybrid machine learning and deep learning method B Asadi, A Shamsoddini Remote Sensing Applications: Society and Environment 33, 101090, 2024 | 34 | 2024 |
| Edge-detection-based filter for SAR speckle noise reduction A Shamsoddini, JC Trinder International Journal of Remote Sensing 33 (7), 2296-2320, 2012 | 29 | 2012 |
| A monitoring framework for land use around kaolin mining areas through Landsat TM images S Raval, A Shamsoddini Earth Science Informatics 7 (3), 153-163, 2014 | 22 | 2014 |
| Spectroscopic analysis of soil metal contamination around a derelict mine site in the Blue Mountains, Australia A Shamsoddini, S Raval, R Taplin ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014 | 19 | 2014 |
| Global-scale biomass estimation based on machine learning and deep learning methods S Talebiesfandarani, A Shamsoddini Remote Sensing Applications: Society and Environment 28, 100868, 2022 | 18 | 2022 |
| Mapping red edge-based vegetation health indicators using Landsat TM data for Australian native vegetation cover A Shamsoddini, S Raval Earth Science Informatics 11 (4), 545-552, 2018 | 18 | 2018 |
| Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters M Maghrebi, A Shamsoddini, ST Waller Construction Innovation 16 (2), 185-202, 2016 | 17 | 2016 |
| Satellite remote sensing-based estimates of biomass production on reclaimed coal mines. S Raval, E Sarver, A Shamsoddini, C Zipper, P Donovan, D Evans, C HT Mining Engineering 66 (4), 2014 | 17 | 2014 |
| Spatial and temporal resolution improvement of actual evapotranspiration maps using Landsat and MODIS data fusion H Salehi, A Shamsoddini, SM Mirlatifi, B Mirgol, M Nazari Frontiers in Environmental Science, 634, 2021 | 14 | 2021 |
| Non-linear methods for inferring lidar metrics using SPOT-5 textural data A Shamsoddini, JC Trinder, R Turner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013 | 9 | 2013 |
| Validation of the CHIRPS and CPC-Unified products for estimating extreme daily precipitation over southwestern Iran HA Ghaedamini, S Morid, MJ Nazemosadat, A Shamsoddini, ... Theoretical and Applied Climatology 146 (3), 1207-1225, 2021 | 7 | 2021 |
| Paired-data fusion for improved estimation of pine plantation structure A Shamsoddini, J Trinder, R Turner International Journal of Remote Sensing 36 (8), 1995-2009, 2015 | 7 | 2015 |
| Incorporating Remote Sensing as a Tool to Assist rehabilitation monitoring in a dolomite mining operation in South Australia N Kariyawasam, S Raval, A Shamsoddini Proceedings of the xxv fig International Congress, Kuala Lumpur, Malaysia, 16-21, 2014 | 7 | 2014 |
| RADAR BACKSCATTER AND OPTICAL TEXTURAL INDICES FUSION FOR PINE PLANTATION STRUCTURE MAPPING A Shamsoddini ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012 | 7 | 2012 |
| Neural Networks Fusion for Regression Problems A Shamsoddini, JC Trinder Intenational Journal of Machine Learning and Computing 2 (4), 511-516, 2012 | 6 | 2012 |
S. Travis WallerLighthouse Prof. & Chair of Transport Modeling and Simulation, TU Dresden and Hon. Prof, ANU & UNSWVerified email at tu-dresden.de
