Mahdi Khodadadzadeh

According to our database1, Mahdi Khodadadzadeh authored at least 33 papers between 2011 and 2020.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data.
Remote. Sens., 2020

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis.
Remote. Sens., 2020

2019
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data.
IEEE Trans. Geosci. Remote. Sens., 2019

Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction.
Sensors, 2019

A Supervised Method for Nonlinear Hyperspectral Unmixing.
Remote. Sens., 2019

The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Fractional Abundance Estimation of Mixed and Compound Materials by Hyperspectral Imaging.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Upscaling High-Resolution Mineralogical Analyses to Estimate Mineral Abundances in Drill Core Hyperspectral Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring.
Remote. Sens., 2018

A Machine Learning Technique for Drill Core Hyperspectral Data Analysis.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Extraction of Statistical Features for Improved Automatic Detection of Subglacial Lakes in Radar Sounder Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A technique based on adaptive windows for the classification of radar sounder data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A Gaussian approach to subspace based classification of hyperspectral images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Subspace-Based Support Vector Machines for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2015

Hyperspectral image classification based on union of subspaces.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization.
IEEE Trans. Geosci. Remote. Sens., 2014

A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2014

Spectrometer-driven spectral partitioning for hyperspectral image classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A new framework for hyperspectral image classification using multiple spectral and spatial features.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Spectral-spatial classification for hyperspectral data using SVM and subspace MLR.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2011
Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Data Unmixing
CoRR, 2011


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