Mahdi Khodadadzadeh
Mahdi Khodadadzadeh
Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology
Verified email at hzdr.de
Title
Cited by
Cited by
Year
Spectral–spatial classification of hyperspectral data using local and global probabilities for mixed pixel characterization
M Khodadadzadeh, J Li, A Plaza, H Ghassemian, JM Bioucas-Dias, X Li
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6298-6314, 2014
1032014
Subspace-based support vector machines for hyperspectral image classification
L Gao, J Li, M Khodadadzadeh, A Plaza, B Zhang, Z He, H Yan
IEEE Geoscience and Remote Sensing Letters 12 (2), 349-353, 2014
932014
Fusion of hyperspectral and LiDAR remote sensing data using multiple feature learning
M Khodadadzadeh, J Li, S Prasad, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2015
912015
A discontinuity preserving relaxation scheme for spectral–spatial hyperspectral image classification
J Li, M Khodadadzadeh, A Plaza, X Jia, JM Bioucas-Dias
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2015
582015
A subspace-based multinomial logistic regression for hyperspectral image classification
M Khodadadzadeh, J Li, A Plaza, JM Bioucas-Dias
IEEE Geoscience and Remote Sensing Letters 11 (12), 2105-2109, 2014
442014
Integration of terrestrial and drone-borne hyperspectral and photogrammetric sensing methods for exploration mapping and mining monitoring
M Kirsch, S Lorenz, R Zimmermann, L Tusa, R M÷ckel, P H÷dl, ...
Remote Sensing 10 (9), 1366, 2018
302018
A machine learning framework for drill-core mineral mapping using hyperspectral and high-resolution mineralogical data fusion
ICC Acosta, M Khodadadzadeh, L Tusa, P Ghamisi, R Gloaguen
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2019
172019
A new framework for hyperspectral image classification using multiple spectral and spatial features
M Khodadadzadeh, J Li, A Plaza, P Gamba, JA Benediktsson, ...
2014 IEEE Geoscience and Remote Sensing Symposium, 4628-4631, 2014
132014
Mineral Mapping and Vein Detection in Hyperspectral Drill-Core Scans: Application to Porphyry-Type Mineralization
L Tusa, L Andreani, M Khodadadzadeh, C Contreras, P Ivascanu, ...
Minerals 9 (2), 122, 2019
122019
A novel approach for spectral-spatial classification of hyperspectral data based on SVM-MRF method
M Khodadadzadeh, R Rajabi, H Ghassemian
2011 IEEE International Geoscience and Remote Sensing Symposium, 1890-1893, 2011
122011
Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction
S Lorenz, P Seidel, P Ghamisi, R Zimmermann, L Tusa, ...
Sensors 19 (12), 2787, 2019
112019
Abundance-indicated subspace for hyperspectral classification with limited training samples
S Xu, J Li, M Khodadadzadeh, A Marinoni, P Gamba, B Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2019
92019
Spectral-Spatial Classification for Hyperspectral Data Using SVM and Subspace MLR
M Khodadadzadeh, J Li, A Plaza, H Ghassemian, JM Bioucas-Dias
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE Internationalá…, 2013
82013
Combination of region-based and pixel-based hyperspectral image classification using erosion technique and MRF model
M Khodadadzadeh, R Rajabi, H Ghassemian
2010 18th Iranian Conference on Electrical Engineering, 294-299, 2010
82010
Graph regularized nonnegative matrix factorization for hyperspectral data unmixing
R Rajabi, M Khodadadzadeh, H Ghassemian
2011 7th Iranian conference on machine vision and image processing, 1-4, 2011
72011
An automatic method for subglacial lake detection in ice sheet radar sounder data
AM Ilisei, M Khodadadzadeh, A Ferro, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3252-3270, 2018
62018
Contextual classification of hyperspectral remote sensing images using SVM-PLR.
M Khodadadzadeh, H Ghassemian
Australian Journal of Basic and Applied Sciences 5 (8), 374-382, 2011
62011
Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain
M Khodadadzadeh, A Cuartero, J Li, A FelicÝsimo, A Plaza
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 61-64, 2015
52015
Hyperspectral image classification based on union of subspaces
M Khodadadzadeh, J Li, A Plaza, JM Bioucas-Dias
2015 Joint Urban Remote Sensing Event (JURSE), 1-4, 2015
52015
Evaluating the performance of hyperspectral short-wave infrared sensors for the pre-sorting of complex ores using machine learning methods
L Tuşa, M Kern, M Khodadadzadeh, R Blannin, R Gloaguen, J Gutzmer
Minerals Engineering 146, 106150, 2020
42020
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