Abdolreza Safari

Orcid: 0000-0001-5938-5468

Affiliations:
  • University of Tehran, Iran


According to our database1, Abdolreza Safari authored at least 31 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Determining the time response in GNSS tomographic modeling of troposphere.
Earth Sci. Informatics, June, 2023

2022
Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A New Convolutional Kernel Classifier for Hyperspectral Image Classification.
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

Adaptive Self-Learned Active Learning Framework for Hyperspectral Classification.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2018
Multiple Kernel Learning for Remote Sensing Image Classification.
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

Object-based classification of hyperspectral data using Random Forest algorithm.
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

Classifying Multi-Channel Polsar Images Base on Polarization Signature.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Novel Multiple Kernel Learning Framework for Multiple Feature Classification.
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

Semi-supervised classification of hyperspectral image using random forest algorithm.
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

An Approach for Subpixel Anomaly Detection in Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2012
Improving the SVDD Approach to Hyperspectral Image Classification.
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


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