Mahdi Khodadadzadeh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Multinomial Logistic Regression

Discontinuity Preserving

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction. CoRR (2024)
Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
Spatial+: A new cross-validation method to evaluate geospatial machine learning models. Int. J. Appl. Earth Obs. Geoinformation 121 (2023)
Saeed Soltani-Mohammadi, Fatemeh Sadat Hoseinian, Maliheh Abbaszadeh, Mahdi Khodadadzadeh
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. 159 (2022)
Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Richard Gloaguen
Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping. Remote. Sens. 13 (12) (2021)
Kasra Rafiezadeh Shahi, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Raimon Tolosana-Delgado, Richard Gloaguen
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis. Remote. Sens. 12 (15) (2020)
Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Richard Gloaguen
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Laura Tusa, Mahdi Khodadadzadeh, Cecilia Contreras, Kasra Rafiezadeh Shahi, Margret C. Fuchs, Richard Gloaguen, Jens Gutzmer
Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data. Remote. Sens. 12 (7) (2020)
Kasra Rafiezadeh Shahi, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Laura Tusa, Richard Gloaguen
The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining. WHISPERS (2019)
Richard Gloaguen, Margret C. Fuchs, Mahdi Khodadadzadeh, Pedram Ghamisi, Moritz Kirsch, René Booysen, Robert Zimmermann, Sandra Lorenz
Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. IGARSS (2019)
Cecilia Contreras, Mahdi Khodadadzadeh, Pedram Ghamisi, Richard Gloaguen
Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. IGARSS (2019)
Bikram Koirala, Mahdi Khodadadzadeh, Cecilia Contreras, Zohreh Zahiri, Richard Gloaguen, Paul Scheunders
A Supervised Method for Nonlinear Hyperspectral Unmixing. Remote. Sens. 11 (20) (2019)
Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen
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. 12 (12) (2019)
Mahdi Khodadadzadeh, Richard Gloaguen
Upscaling High-Resolution Mineralogical Analyses to Estimate Mineral Abundances in Drill Core Hyperspectral Data. IGARSS (2019)
Sandra Lorenz, Peter Seidel, Pedram Ghamisi, Robert Zimmermann, Laura Tusa, Mahdi Khodadadzadeh, I. Cecilia Contreras, Richard Gloaguen
Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. Sensors 19 (12) (2019)
Shuyuan Xu, Jun Li, Mahdi Khodadadzadeh, Andrea Marinoni, Paolo Gamba, Bo Li
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (4) (2019)
Ana-Maria Ilisei, Mahdi Khodadadzadeh, Adamo Ferro, Lorenzo Bruzzone
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Bikram Koirala, Zohreh Zahiri, Mahdi Khodadadzadeh, Paul Scheunders
Fractional Abundance Estimation of Mixed and Compound Materials by Hyperspectral Imaging. WHISPERS (2019)
Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Christina Loidolt, Raimon Tolosana-Delgado, Richard Gloaguen
Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping. WHISPERS (2019)
Moritz Kirsch, Sandra Lorenz, Robert Zimmermann, Laura Tusa, Robert Möckel, Philip Hödl, René Booysen, Mahdi Khodadadzadeh, Richard Gloaguen
Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. Remote. Sens. 10 (9) (2018)
Richard Gloaguen, Pedram Ghamisi, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, René Booysen, Louis Andreani, Robert Jackisch, Erik Hermann, Laura Tusa, Gabriel Unger, Cecilia Contreras, Mahdi Khodadadzadeh, Margret C. Fuchs
The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. IGARSS (2018)
Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen
A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. WHISPERS (2018)
Ana-Maria Ilisei, Mahdi Khodadadzadeh, Lorenzo Bruzzone
Extraction of Statistical Features for Improved Automatic Detection of Subglacial Lakes in Radar Sounder Data. IGARSS (2018)
Mahdi Khodadadzadeh, Pedram Ghamisi, Cecilia Contreras, Richard Gloaguen
Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. IGARSS (2018)
Laura Tusa, Louis Andreani, Eric Pohl, I. Cecilia Contreras, Mahdi Khodadadzadeh, Richard Gloaguen, Jens Gutzmer
Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans. IGARSS (2018)
Mahdi Khodadadzadeh, Ana-Maria Ilisei, Lorenzo Bruzzone
A technique based on adaptive windows for the classification of radar sounder data. IGARSS (2017)
Mahdi Khodadadzadeh, Lorenzo Bruzzone, Jun Li, Antonio J. Plaza
A Gaussian approach to subspace based classification of hyperspectral images. IGARSS (2016)
Jun Li, Mahdi Khodadadzadeh, Antonio Plaza, Xiuping Jia, José M. Bioucas-Dias
A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (2) (2016)
Lianru Gao, Jun Li, Mahdi Khodadadzadeh, Antonio J. Plaza, Bing Zhang, Zhijian He, Huiming Yan
Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 12 (2) (2015)
Mahdi Khodadadzadeh, Jun Li, Saurabh Prasad, Antonio Plaza
Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (6) (2015)
Mahdi Khodadadzadeh, Aurora Cuartero, Jun Li, Ángel M. Felicísimo, Antonio Plaza
Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain. IGARSS (2015)
Mahdi Khodadadzadeh, Jun Li, Antonio Plaza, José M. Bioucas-Dias
Hyperspectral image classification based on union of subspaces. JURSE (2015)
Mahdi Khodadadzadeh, Jun Li, Antonio J. Plaza, Paolo Gamba, Jón Atli Benediktsson, José M. Bioucas-Dias
A new framework for hyperspectral image classification using multiple spectral and spatial features. IGARSS (2014)
Jun Li, Yi Liu, Antonio Plaza, Peijun Du, Mahdi Khodadadzadeh
Spectrometer-driven spectral partitioning for hyperspectral image classification. WHISPERS (2014)
Mahdi Khodadadzadeh, Jun Li, Antonio Plaza, Hassan Ghassemian, José M. Bioucas-Dias, Xia Li
Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
Mahdi Khodadadzadeh, Jun Li, Antonio Plaza, José M. Bioucas-Dias
A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 11 (12) (2014)
Mahdi Khodadadzadeh, Jun Li, Antonio Plaza, Hassan Ghassemian, José M. Bioucas-Dias
Spectral-spatial classification for hyperspectral data using SVM and subspace MLR. IGARSS (2013)
Roozbeh Rajabi, Mahdi Khodadadzadeh, Hassan Ghassemian
Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Data Unmixing CoRR (2011)