Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Data Unmixing - Roozbeh Rajabi; Mahdi Khodadadzadeh; Hassan Ghassemian (CoRR, 2011)

Spectral-spatial classification for hyperspectral data using SVM and subspace MLR. - Mahdi Khodadadzadeh; Jun Li 009; Antonio Plaza; Hassan Ghassemian; José M. Bioucas-Dias (IGARSS, 2013)

A new framework for hyperspectral image classification using multiple spectral and spatial features. - Mahdi Khodadadzadeh; Jun Li 009; Antonio J. Plaza; Paolo Gamba; Jón Atli Benediktsson; José M. Bioucas-Dias (IGARSS, 2014)

Spectrometer-driven spectral partitioning for hyperspectral image classification. - Jun Li 009; Yi Liu 017; Antonio Plaza; Peijun Du; Mahdi Khodadadzadeh (WHISPERS, 2014)

A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification. - Mahdi Khodadadzadeh; Jun Li 009; Antonio Plaza; José M. Bioucas-Dias (IEEE Geosci. Remote. Sens. Lett., 2014)

Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. - Mahdi Khodadadzadeh; Jun Li 009; Antonio Plaza; Hassan Ghassemian; José M. Bioucas-Dias; Xia Li 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain. - Mahdi Khodadadzadeh; Aurora Cuartero; Jun Li 009; Ángel M. Felicísimo; Antonio Plaza (IGARSS, 2015)

Hyperspectral image classification based on union of subspaces. - Mahdi Khodadadzadeh; Jun Li 009; Antonio Plaza; José M. Bioucas-Dias (JURSE, 2015)

Subspace-Based Support Vector Machines for Hyperspectral Image Classification. - Lianru Gao; Jun Li 009; Mahdi Khodadadzadeh; Antonio J. Plaza; Bing Zhang 001; Zhijian He; Huiming Yan (IEEE Geosci. Remote. Sens. Lett., 2015)

Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning. - Mahdi Khodadadzadeh; Jun Li 009; Saurabh Prasad; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Gaussian approach to subspace based classification of hyperspectral images. - Mahdi Khodadadzadeh; Lorenzo Bruzzone; Jun Li 009; Antonio J. Plaza (IGARSS, 2016)

A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification. - Jun Li 009; Mahdi Khodadadzadeh; Antonio Plaza; Xiuping Jia; José M. Bioucas-Dias (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

A technique based on adaptive windows for the classification of radar sounder data. - Mahdi Khodadadzadeh; Ana-Maria Ilisei; Lorenzo Bruzzone (IGARSS, 2017)

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. - Richard Gloaguen; Pedram Ghamisi; Sandra Lorenz; Moritz Kirsch; Robert Zimmermann; René Booysen; Louis Andreani; Robert Jackisch; Erik Hermann; Laura Tusa; Gabriel Unger; Cecilia Contreras; et al. (IGARSS, 2018)

Extraction of Statistical Features for Improved Automatic Detection of Subglacial Lakes in Radar Sounder Data. - Ana-Maria Ilisei; Mahdi Khodadadzadeh; Lorenzo Bruzzone (IGARSS, 2018)

Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. - Mahdi Khodadadzadeh; Pedram Ghamisi; Cecilia Contreras; Richard Gloaguen (IGARSS, 2018)

Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans. - Laura Tusa; Louis Andreani; Eric Pohl; I. Cecilia Contreras; Mahdi Khodadadzadeh; Richard Gloaguen; Jens Gutzmer (IGARSS, 2018)

A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. - Cecilia Contreras; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2018)

Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. - Moritz Kirsch; Sandra Lorenz; Robert Zimmermann; Laura Tusa; Robert Möckel; Philip Hödl; René Booysen; Mahdi Khodadadzadeh; Richard Gloaguen (Remote. Sens., 2018)

Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. - Cecilia Contreras; Mahdi Khodadadzadeh; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2019)

Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. - Richard Gloaguen; Margret C. Fuchs; Mahdi Khodadadzadeh; Pedram Ghamisi; Moritz Kirsch; René Booysen; Robert Zimmermann; Sandra Lorenz (IGARSS, 2019)

Upscaling High-Resolution Mineralogical Analyses to Estimate Mineral Abundances in Drill Core Hyperspectral Data. - Mahdi Khodadadzadeh; Richard Gloaguen (IGARSS, 2019)

Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping. - Cecilia Contreras; Mahdi Khodadadzadeh; Laura Tusa; Christina Loidolt; Raimon Tolosana-Delgado; Richard Gloaguen (WHISPERS, 2019)

Fractional Abundance Estimation of Mixed and Compound Materials by Hyperspectral Imaging. - Bikram Koirala; Zohreh Zahiri; Mahdi Khodadadzadeh; Paul Scheunders (WHISPERS, 2019)

The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining. - Kasra Rafiezadeh Shahi; Mahdi Khodadadzadeh; Raimon Tolosana-Delgado; Laura Tusa; Richard Gloaguen (WHISPERS, 2019)

A Supervised Method for Nonlinear Hyperspectral Unmixing. - Bikram Koirala; Mahdi Khodadadzadeh; Cecilia Contreras; Zohreh Zahiri; Richard Gloaguen; Paul Scheunders (Remote. Sens., 2019)

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. - Sandra Lorenz; Peter Seidel; Pedram Ghamisi; Robert Zimmermann; Laura Tusa; Mahdi Khodadadzadeh; I. Cecilia Contreras; Richard Gloaguen (Sensors, 2019)

A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. - Shuyuan Xu; Jun Li 009; Mahdi Khodadadzadeh; Andrea Marinoni; Paolo Gamba; Bo Li 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data. - Ana-Maria Ilisei; Mahdi Khodadadzadeh; Adamo Ferro; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2019)

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis. - Kasra Rafiezadeh Shahi; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Raimon Tolosana-Delgado; Richard Gloaguen (Remote. Sens., 2020)

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data. - Laura Tusa; Mahdi Khodadadzadeh; Cecilia Contreras; Kasra Rafiezadeh Shahi; Margret C. Fuchs; Richard Gloaguen; Jens Gutzmer (Remote. Sens., 2020)

Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Raimon Tolosana-Delgado; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Particle dataset for constructing mineral processing case studies. - Lucas Pereira; Max Frenzel; Mahdi Khodadadzadeh; Raimon Tolosana-Delgado; Jens Gutzmer (RODARE, 2020)

Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Richard Gloaguen (Remote. Sens., 2021)

Data publication: Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt. - Roberto Alejandro De La Rosa Fernandez; Mahdi Khodadadzadeh; Laura Tusa; Moritz Kirsch; Guillem Gisbert; Fernando Tornos; Raimon Tolosana-Delgado; Richard Gloaguen (RODARE, 2021)

Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability. - Saeed Soltani-Mohammadi; Fatemeh Sadat Hoseinian; Maliheh Abbaszadeh; Mahdi Khodadadzadeh (Comput. Geosci., 2022)

Spatial+: A new cross-validation method to evaluate geospatial machine learning models. - Yanwen Wang 004; Mahdi Khodadadzadeh; Raúl Zurita-Milla (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Analysis of Desertification Trends in the Algerian Steppe Using Multitemporal Satellite Imagery for the Period 2002-2022. - Mejdi Kaddour; Lucas De Oto; Amel Faiza Tandjaoui; Hachem Guerid; Mahdi Khodadadzadeh (IGARSS, 2024)

Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses. - Mahdi Khodadadzadeh; Peter Kalverla; Raúl Zurita-Milla (IGARSS, 2024)

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction. - Yanwen Wang 004; Mahdi Khodadadzadeh; Raúl Zurita-Milla (CoRR, 2024)

A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples. - Yanwen Wang 004; Mahdi Khodadadzadeh; Raúl Zurita-Milla (Ecol. Informatics, 2025)