Mahdi Khodadadzadeh

Mahdi Khodadadzadeh

Universiteit Twente

H-index: 17

Europe-Netherlands

About Mahdi Khodadadzadeh

Mahdi Khodadadzadeh, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Machine/Deep Learning, Spatio-temporal Analysis, Data Fusion, Remote Sensing, Hyperspectral.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability

Resolution enhancement for drill-core hyperspectral mineral mapping

A self-adaptive particle-tracking method for minerals processing

Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt

Drill-core hyperspectral and geochemical data integration in a superpixel-based machine learning framework

Hyperspectral drill-core imaging for ore characterization

3D modelling of a mineral deposit using drill core hyperspectral data

Mahdi Khodadadzadeh Information

University

Position

___

Citations(all)

1268

Citations(since 2020)

948

Cited By

642

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

Universiteit Twente

Google Scholar

View Google Scholar Profile

Mahdi Khodadadzadeh Skills & Research Interests

Machine/Deep Learning

Spatio-temporal Analysis

Data Fusion

Remote Sensing

Hyperspectral

Top articles of Mahdi Khodadadzadeh

Title

Journal

Author(s)

Publication Date

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

arXiv preprint arXiv:2404.12575

Yanwen Wang

Mahdi Khodadadzadeh

Raul Zurita-Milla

2024/4/19

Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability

Computers & Geosciences

Saeed Soltani-Mohammadi

Fatemeh Sadat Hoseinian

Maliheh Abbaszadeh

Mahdi Khodadadzadeh

2022/2/1

Resolution enhancement for drill-core hyperspectral mineral mapping

Remote Sensing

Isabel Cecilia Contreras Acosta

Mahdi Khodadadzadeh

Richard Gloaguen

2021/6/11

A self-adaptive particle-tracking method for minerals processing

Journal of cleaner production

Lucas Pereira

Max Frenzel

Mahdi Khodadadzadeh

Raimon Tolosana-Delgado

Jens Gutzmer

2021/1/10

Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt

Roberto De la Rosa

Mahdi Khodadadzadeh

Laura Tusa

Moritz Kirsch

Guillem Gisbert

...

2021/12/1

Drill-core hyperspectral and geochemical data integration in a superpixel-based machine learning framework

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Isabel Cecilia Contreras Acosta

Mahdi Khodadadzadeh

Raimon Tolosana-Delgado

Richard Gloaguen

2020/7/22

Hyperspectral drill-core imaging for ore characterization

EGU General Assembly Conference Abstracts

Laura Tusa

Mahdi Khodadadzadeh

Margret Fuchs

Richard Gloaguen

Jens Gutzmer

2020/5

3D modelling of a mineral deposit using drill core hyperspectral data

EGU General Assembly Conference Abstracts

Roberto De La Rosa

Mahdi Khodadadzadeh

Cecilia Contreras

Laura Tusa

Moritz Kirsch

...

2020/5

Multi-label classification for drill-core hyperspectral mineral mapping

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

IC Contreras

M Khodadadzadeh

R Gloaguen

2020/8/21

Mineralogical and structural characterization of massive sulphide deposits in the Iberian Pyrite Belt using hyperspectral digital outcrops

EGU General Assembly Conference Abstracts

Moritz Kirsch

Sandra Lorenz

Samuel Thiele

Robert Zimmermann

Mahdi Khodadadzadeh

...

2020/5

A new spectral-spatial subspace clustering algorithm for hyperspectral image analysis

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

K Rafiezadeh Shahi

P Ghamisi

R Jackisch

M Khodadadzadeh

S Lorenz

...

2020/8/3

A supervised technique for drill-core mineral mapping using Hyperspectral data

EGU General Assembly Conference Abstracts

Cecilia Contreras

Mahdi Khodadadzadeh

Laura Tusa

Richard Gloaguen

2020/5

Hierarchical sparse subspace clustering (HESSC): An automatic approach for hyperspectral image analysis

Remote Sensing

Kasra Rafiezadeh Shahi

Mahdi Khodadadzadeh

Laura Tusa

Pedram Ghamisi

Raimon Tolosana-Delgado

...

2020/7/28

Drill-core mineral abundance estimation using hyperspectral and high-resolution mineralogical data

Remote Sensing

Laura Tuşa

Mahdi Khodadadzadeh

Cecilia Contreras

Kasra Rafiezadeh Shahi

Margret Fuchs

...

2020/4/9

See List of Professors in Mahdi Khodadadzadeh University(Universiteit Twente)

Co-Authors

H-index: 104
Lorenzo Bruzzone

Lorenzo Bruzzone

Università degli Studi di Trento

H-index: 94
Antonio Plaza

Antonio Plaza

Universidad de Extremadura

H-index: 82
Xia Li

Xia Li

East China Normal University

H-index: 59
Gamba Paolo

Gamba Paolo

Università degli Studi di Pavia

H-index: 59
jun li

jun li

Sun Yat-Sen University

H-index: 43
Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

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