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saeid niazmradi
saeid niazmradi
Assistant professor of remote sensing at Graduate university of advanced technology
Bestätigte E-Mail-Adresse bei kgut.ac.ir - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
672013
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
602021
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
432017
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
242018
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
202017
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
162017
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
142021
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
122012
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
112013
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
112013
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
102013
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
92019
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
92016
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
82018
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
72019
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
62021
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
52014
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
12022
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
12022
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
12019
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