Mahdi Khodadadzadeh
Orcid: 0000-0001-7899-738X
According to our database1,
Mahdi Khodadadzadeh
authored at least 43 papers
between 2011 and 2025.
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Bibliography
2025
A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples.
Ecol. Informatics, 2025
Mapping and monitoring spatiotemporal desertification patterns in the arid transition zone of Algeria over the period 2002-2022.
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction.
CoRR, 2024
Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses.
Proceedings of the IGARSS 2024, 2024
Analysis of Desertification Trends in the Algerian Steppe Using Multitemporal Satellite Imagery for the Period 2002-2022.
Proceedings of the IGARSS 2024, 2024
2023
Spatial+: A new cross-validation method to evaluate geospatial machine learning models.
Int. J. Appl. Earth Obs. Geoinformation, 2023
2022
Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability.
Comput. Geosci., 2022
2021
Data publication: Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt.
Dataset, December, 2021
Remote. Sens., 2021
2020
Dataset, May, 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
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
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
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
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
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
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
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
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
IEEE Geosci. Remote. Sens. Lett., 2015
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
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
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2011
CoRR, 2011