Publication

Journal papers

Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping

Saeid Niazmardi, Saeid Homayouni, Abdolreza Safari, Heather McNairn, Jiali Shang and Keith Beckett Homayouni
Internatinal Journal of Applied Earth Observation and Geoinformation , 2018, Volume: 72, Issue: 1 , pages: 34-41

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Multiple kernel representation and classification of multivariate satellite image time-series for crop mapping

Saeid Niazmardi, Saeid Homayouni, Abdolreza Safari, Jiali Shang and Heather McNairn
International journal of  Remote Sensing, 2018, Volume: 39, Issue: 1 , pages: 149-168

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Multiple Kernel Learning for Remote Sensing Image Classification

Saeid Niazmardi, Begum Demir, Lorenzo Bruzzone, Abdolreza Safari and Saeid Homayouni
IEEE Transaction on Geoscience and Remote Sensing, 2017, Volume: 56, Issue: 3 , pages: 1425-1443

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A novel multiple kernel learning framework for multiple feature classification

Saeid Niazmardi, Abdolreza Safari and Saeid Homayouni
IEEE Journal of selected topics in applied earth observation and remote sensing, 2017, Volume: 10, Issue: 8 , pages: 3734-3743

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Similarity-based multiple kernel learning algorithms for classification of remotely sensed images

Saeid Niazmardi, Abdolreza Safari and Saeid Homayouni
IEEE Journal of selected topics in applied earth observation and remote sensing, 2017, Volume: 10, Issue: 5 , pages: 2012-2021

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An improved FCM algorithms based on the SVDD for unsupervised hyperspectral data classification

Saeid Niazmardi, Saeid Homayouni and Abdolreza Safari
IEEE Journal of selected topics in applied earth observation and remote sensing, 2013, Volume: 6, Issue: 2 , pages: 831-839

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Particle swarm optimization of kernel-based fuzzy C-means for hyperspectral  data clustering

Saeid Niazmardi, Amin alizadeh Naeini, Saeid Homayouni,  Abdolreza Safari and Farhad Samadzadegan
Journal of  applied   remote sensing, 2012, Volume: 6, Issue: 1 , pages: 063601-1-16

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Book Chapters

A comparison study between two hyperpsectral clustering methods: KFCM and PSO-FCM

Amin Alizadeh Naeini, Saeid Niazmardi, Shahin Rahmatollahi Namin, Farhad Samadzadegan and Saeid Homayouni
in Computational Intelligence and Decision Making volume 1, A.Madureira, C. Reis, and V. Marques, Eds., ed: Springer, 2013, pages: 23-33.

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International conferences

Evaluation of multiple kernel learning algorithms for crop mapping using satellite image time-series data

Saeid Niazmardi, Abdolreza Safari and Saeid Homayouni.
presented at Tehran ISPRS joint conference, Tehran, Iran, 2017.

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A comparative study on multiple kernel learning for remote sensing image classification

Saeid Niazmardi,Begum Demir, Lorenzo Bruzzone, Abdolreza Safari and Saeid Homayouni.
presented at IEEE IGARSS 16, Beijing, China, 2017.

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Multiple kernel learning wt for classification of agricultural time-series data

Saeid Niazmardi, Saeid Homayouni, Heather McNairn, Jiali Shang and Abdolreza Safari.
presented at Third International
Conference on Agro- Geoinformatics, Beijing, China, 2014.

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A new classification method based on the support vector regression of NDVI time-series for agricultural crops

Saeid Niazmardi, Hamid Khanahmadlou,  Heather McNairn and Saeid Homayouni
presented at Second International
Conference on Agro- Geoinformatics, Fairfax, VA, USA, 2013.

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