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ORCIDSaeid Niazmardi
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2020 – today
- 2022
[c2]Mohsen Ansari
, Weimin Huang, Saeid Homayouni, Saeid Niazmardi, Abdolreza Safari:
Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery. IGARSS 2022: 1384-1387- [i1]Reza Attarzadeh, Hossein Bagheri, Iman Khosravi, Saeid Niazmardi, Davood Akbarid:
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals. CoRR abs/2211.15938 (2022) - 2021
- [j6]Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi:
A New Convolutional Kernel Classifier for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11240-11256 (2021)
2010 – 2019
- 2018
- [j5]Saeid Niazmardi, Saeid Homayouni, Abdolreza Safari, Heather McNairn, Jiali Shang, Keith Beckett:
Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping. Int. J. Appl. Earth Obs. Geoinformation 72: 34-41 (2018) - [j4]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
Multiple Kernel Learning for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1425-1443 (2018) - 2017
- [j3]Saeid Niazmardi, Abdolreza Safari, Saeid Homayouni:
Similarity-Based Multiple Kernel Learning Algorithms for Classification of Remotely Sensed Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 2012-2021 (2017) - [j2]Saeid Niazmardi, Abdolreza Safari, Saeid Homayouni:
A Novel Multiple Kernel Learning Framework for Multiple Feature Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3734-3743 (2017) - 2016
- [c1]Saeid Niazmardi, Begüm Demir, Lorenzo Bruzzone, Abdolreza Safari, Saeid Homayouni:
A comparative study on Multiple Kernel Learning for remote sensing image classification. IGARSS 2016: 1512-1515 - 2013
- [j1]Saeid Niazmardi, Saeid Homayouni, Abdolreza Safari:
An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-3): 831-839 (2013)
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