Abdolreza Safari
Orcid: 0000-0001-5938-5468Affiliations:
- University of Tehran, Iran
According to our database1,
Abdolreza Safari
authored at least 32 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Earth Sci. Informatics, June, 2023
2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Multi-GNSS (GPS/Galileo) single-frequency precise point positioning: a case study over Victoria.
Earth Sci. Informatics, 2021
Ensemble Learning for Crop Monitoring from Multitemporal Optical and Synthetic Aperture Radar Earth Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A GA-Based Multi-View, Multi-Learner Active Learning Framework for Hyperspectral Image Classification.
Remote. Sens., 2020
Multiview Active Learning Optimization Based on Genetic Algorithm and Gaussian Mixture Models for Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett., 2020
2019
Hybrid SAR Speckle Reduction Using Complex Wavelet Shrinkage and Non-Local PCA-Based Filtering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Based on a Gaussian Mixture Model and Error Ellipse.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Geo spatial Inf. Sci., 2018
Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Similarity-Based Multiple Kernel Learning Algorithms for Classification of Remotely Sensed Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Spectral-Spatial Semisupervised Hyperspectral Classification Using Adaptive Neighborhood.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
A particle swarm optimized kernel-based clustering method for crop mapping from multi-temporal polarimetric L-band SAR observations.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Fusion Methods for Land Surface Emissivity and Temperature Retrieval of the Landsat Data Continuity Mission Data.
IEEE Trans. Geosci. Remote. Sens., 2016
Graph-based semi-supervised hyperspectral image classification using spatial information.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
A comparative study on Multiple Kernel Learning for remote sensing image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
A Hybrid Kernel-Based Change Detection Method for Remotely Sensed Data in a Similarity Space.
Remote. Sens., 2015
2014
An improved marker selection method for hyperspectral image segmentation and classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Multi-temporal full polarimetry L-band SAR data classification for agriculture land cover mapping.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
An efficient framework for spectral-spatial classification of hyperspectral images in urban areas.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
2012
IEEE Geosci. Remote. Sens. Lett., 2012
2011
Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method.
IEEE Geosci. Remote. Sens. Lett., 2011
A fast-adaptive support vector method for full-pixel anomaly detection in hyperspectral images.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011