| An improved FCM algorithm based on the SVDD for unsupervised hyperspectral data classification S Niazmardi, S Homayouni, A Safari IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 67 | 2013 |
| A novel multiple-kernel support vector regression algorithm for estimation of water quality parameters M Najafzadeh, S Niazmardi Natural Resources Research 30 (5), 3761-3775, 2021 | 59 | 2021 |
| Multiple kernel learning for remote sensing image classification S Niazmardi, B Demir, L Bruzzone, A Safari, S Homayouni IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1425-1443, 2017 | 43 | 2017 |
| Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping S Niazmardi, S Homayouni, A Safari, H McNairn, J Shang, K Beckett International journal of applied earth observation and geoinformation 72, 34-41, 2018 | 24 | 2018 |
| A novel multiple kernel learning framework for multiple feature classification S Niazmardi, A Safari, S Homayouni IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 20 | 2017 |
| Similarity-based multiple kernel learning algorithms for classification of remotely sensed images S Niazmardi, A Safari, S Homayouni IEEE journal of selected topics in applied earth observations and remote …, 2017 | 16 | 2017 |
| A new convolutional kernel classifier for hyperspectral image classification M Ansari, S Homayouni, A Safari, S Niazmardi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 14 | 2021 |
| Particle swarm optimization of kernel-based fuzzy c-means for hyperspectral data clustering S Niazmardi, AA Naeini, S Homayouni, A Safari, F Samadzadegan Journal of applied remote sensing 6 (1), 063601-063601, 2012 | 12 | 2012 |
| Urban heat island growth modeling using artificial neural networks and support vector regression: A case study of Tehran, Iran SA Sherafati, MR Saradjian, S Niazmardi The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 11 | 2013 |
| A Comparison Study Between Two Hyperspectral Clustering Methods: KFCM and PSO-FCM AA Naeini, S Niazmardi, SR Namin, F Samadzadegan, S Homayouni Computational Intelligence and Decision Making, 23-33, 2013 | 11 | 2013 |
| A new classification method based on the support vector regression of NDVI time series for agricultural crop mapping S Niazmardi, J Shang, H McNairn, S Homayouni 2013 second international conference on agro-geoinformatics (Agro …, 2013 | 10 | 2013 |
| Estimation of soil moisture and earth’s surface temperature using landsat-8 satellite data M Entezari, A Esmaeily, S Niazmardi The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 9 | 2019 |
| A comparative study on Multiple Kernel Learning for remote sensing image classification S Niazmardi, B Demir, L Bruzzone, A Safari, S Homayouni 2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016 | 9 | 2016 |
| Multiple kernel representation and classification of multivariate satellite-image time-series for crop mapping S Niazmardi, S Homayouni, A Safari, J Shang, H McNairn International journal of remote sensing 39 (1), 149-168, 2018 | 8 | 2018 |
| A computationally efficient multi-domain active learning method for crop mapping using satellite image time-series S Niazmardi, S Homayouni, A Safari International journal of remote sensing 40 (16), 6383-6394, 2019 | 7 | 2019 |
| A comparative study of remote sensing and gene expression programming for estimation of evapotranspiration in four distinctive climates A Barzkar, S Shahabi, S Niazmradi, MR Madadi Stochastic Environmental Research and Risk Assessment 35 (7), 1437-1452, 2021 | 6 | 2021 |
| Multiple kernels learning for classification of agricultural time series data S Niazmardi, S Homayouni, H McNairn, J Shang, A Safari 2014 The Third International Conference on Agro-Geoinformatics, 1-4, 2014 | 5 | 2014 |
| Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals R Attarzadeh, H Bagheri, I Khosravi, S Niazmardi, D Akbari Remote Sensing Letters 13 (12), 1260-1270, 2022 | 1 | 2022 |
| Investigating the Relative Importance of Spatial and Environmental Factors on Energy Consumption in the Residential Sectors Using GIS (Case Study: Kerman) A Sajadian, S Niazmardi, M Argany, R Arababadi, G Pignatta Environmental Sciences Proceedings 12 (1), 6, 2022 | 1 | 2022 |
| A spatial-spectral classification strategy for very high-resolution images using region covariance descriptors and multiple kernel learning algorithms S Niazmardi Earth Observation and Geomatics Engineering 3 (2), 92-98, 2019 | 1 | 2019 |
Saeid Homayouni, Ph.D., IEEE SMProfessor, INRS, Centre Eau Terre EnvironnmentVerified email at inrs.ca
