| Young and mature oil palm tree detection and counting using convolutional neural network deep learning method NA Mubin, E Nadarajoo, HZM Shafri, A Hamedianfar International Journal of Remote Sensing 40 (19), 7500-7515, 2019 | 136 | 2019 |
| Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data A Hamedianfar, HZM Shafri, S Mansor, N Ahmad International Journal of Remote Sensing 35 (5), 1876-1899, 2014 | 78 | 2014 |
| Detailed intra-urban mapping through transferable OBIA rule sets using WorldView-2 very-high-resolution satellite images A Hamedianfar, HZM Shafri International Journal of Remote Sensing 36 (13), 3380-3396, 2015 | 57 | 2015 |
| Development of fuzzy rule-based parameters for urban object-oriented classification using very high resolution imagery A Hamedianfar, HZM Shafri Geocarto International 29 (3), 268-292, 2014 | 56 | 2014 |
| Development of spectral indices for roofing material condition status detection using field spectroscopy and WorldView-3 data SH Samsudin, HZM Shafri, A Hamedianfar Journal of Applied Remote Sensing 10 (2), 025021-025021, 2016 | 48 | 2016 |
| New semi-automated mapping of asbestos cement roofs using rule-based object-based image analysis and Taguchi optimization technique from WorldView-2 images MBA Gibril, HZM Shafri, A Hamedianfar International Journal of Remote Sensing 38 (2), 467-491, 2017 | 43 | 2017 |
| Spectral feature selection and classification of roofing materials using field spectroscopy data SH Samsudin, HZM Shafri, A Hamedianfar, S Mansor Journal of Applied Remote Sensing 9 (1), 095079-095079, 2015 | 38 | 2015 |
| Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications A Hamedianfar, C Mohamedou, A Kangas, J Vauhkonen Forestry 95 (4), 451-465, 2022 | 35 | 2022 |
| Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data A Hamedianfar, HZM Shafri Journal of applied remote sensing 10 (2), 025001, 2016 | 33 | 2016 |
| Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery K Shahi, HZM Shafri, A Hamedianfar Geocarto international 32 (12), 1389-1406, 2017 | 31 | 2017 |
| Synergistic use of particle swarm optimization, artificial neural network, and extreme gradient boosting algorithms for urban LULC mapping from WorldView-3 images A Hamedianfar, MBA Gibril, M Hosseinpoor, PKE Pellikka Geocarto International 37 (3), 773-791, 2022 | 28 | 2022 |
| Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping I Zahidi, B Yusuf, A Hamedianfar, HZM Shafri, TA Mohamed European Journal of Remote Sensing 48 (1), 423-446, 2015 | 27 | 2015 |
| Large-scale urban mapping using integrated geographic object-based image analysis and artificial bee colony optimization from worldview-3 data A Hamedianfar, M Barakat A. Gibril International Journal of Remote Sensing 40 (17), 6796-6821, 2019 | 25 | 2019 |
| Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images A Hamedianfar, HZM Shafri, S Mansor, N Ahmad Journal of Applied Remote Sensing 8 (1), 085091-085091, 2014 | 20 | 2014 |
| Land transformation assessment using the integration of remote sensing and GIS techniques: a case study of Al-Anbar Province, Iraq MA Jasim, HZM Shafri, A Hamedianfar, MI Sameen Arabian Journal of Geosciences 9, 1-16, 2016 | 15 | 2016 |
| Mapping of intra-urban land covers using pixel-based and object-based classifications from airborne hyperspectral imagery HZM Shafri, A Hamedianfar 2015 2nd International Conference on Information Science and Security (ICISS …, 2015 | 5 | 2015 |
| Detailed urban object-based classifications from WorldView-2 imagery and LiDAR data: supervised vs. fuzzy rule-based A Hamedianfar, HZ Mohd Shafri, S Mansor, N Ahmad FIG Congress, 2014 | 3 | 2014 |
| Combining object-based classification and data mining algorithm to classify urban surface materials from WorldView-2 satellite image A Hamedianfar, HZM Shafri 2014 International Conference on Information Science & Applications (ICISA), 1-3, 2014 | 3 | 2014 |
| Leveraging high-resolution long-wave infrared hyperspectral laboratory imaging data for mineral identification using machine learning methods A Hamedianfar, K Laakso, M Middleton, T Törmänen, J Köykkä, J Torppa Remote Sensing 15 (19), 4806, 2023 | 2 | 2023 |
| Potential of Bayesian formalism for the fusion and assimilation of sequential forestry data in time and space C Mohamedou, A Kangas, A Hamedianfar, J Vauhkonen Canadian Journal of Forest Research 52 (4), 439-449, 2022 | 2 | 2022 |
Helmi Z. M. ShafriUniversiti Putra Malaysia在 upm.edu.my 的电子邮件经过验证
