World's Best Scientists 2026 revealed!
Hassan Ghassemian

Hassan Ghassemian

D-Index & Metrics

Computer Science

D-Index
38
Citations
6933
World Ranking
10152
National Ranking
15

Overview

Hassan Ghassemian is affiliated with Tarbiat Modares University in Iran, focusing primarily on research within engineering and computer science. Their scholarly work is concentrated on media technology, aerospace engineering, atmospheric science, computer vision and pattern recognition, and artificial intelligence.

Their main topics of study include remote-sensing image classification, advanced image fusion techniques, remote sensing and land use, infrared target detection methodologies, advanced chemical sensor technologies, image and signal denoising methods, and domain adaptation and few-shot learning.

Ghassemian has a substantial record of publications in several prominent venues, with frequent appearances in the International Journal of Remote Sensing, the arXiv repository by Cornell University, The Egyptian Journal of Remote Sensing and Space Science, IEEE Geoscience and Remote Sensing Letters, and Zenodo from CERN. Their recent papers exemplify their research interests and include:

  • An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges (2020), published in Information Fusion
  • Hyperspectral Unmixing Using Deep Convolutional Autoencoders in a Supervised Scenario (2020), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Hyperspectral image classification by optimizing convolutional neural networks based on information theory and 3D-Gabor filters (2021), published in International Journal of Remote Sensing
  • Clustering based background learning for hyperspectral anomaly detection (2023), published in The Egyptian Journal of Remote Sensing and Space Science
  • Second-Order Total Generalized Variation Regularization for Pansharpening (2020), published in IEEE Geoscience and Remote Sensing Letters

Their collaborative network includes repeated co-authorship with researchers such as Maryam Imani, Mohamad Ebrahim Aghili, Arash Saboori, Shiva Maleki, and Farshid Khajehrayeni. These collaborations span multiple publications, contributing to a diversified scholarly output.

Best Publications

  • A review of remote sensing image fusion methods

    Hassan Ghassemian

  • MRI and PET image fusion by combining IHS and retina-inspired models

    Sabalan Daneshvar;Hassan Ghassemian

  • An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges

    Maryam Imani;Hassan Ghassemian

  • Combining the spectral PCA and spatial PCA fusion methods by an optimal filter

    Hamid Reza Shahdoosti;Hassan Ghassemian

  • Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges

    Bahareh Jamshidi;Saeid Minaei;Ezzedin Mohajerani;Hassan Ghassemian

  • Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF

    Roozbeh Rajabi;Hassan Ghassemian

  • Spectral–Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization

    Mahdi Khodadadzadeh;Jun Li;Antonio Plaza;Hassan Ghassemian

  • Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal

    Maryam Mohebbi;Hassan Ghassemian

  • Nonlinear IHS: A Promising Method for Pan-Sharpening

    Morteza Ghahremani;Hassan Ghassemian

  • Improving hyperspectral image classification by combining spectral, texture, and shape features

    Fardin Mirzapour;Hassan Ghassemian

  • Applied machine vision and artificial neural network for modeling and controlling of the grape drying process

    Nasser Behroozi Khazaei;Teymour Tavakoli;Hassan Ghassemian;Mohammad Hadi Khoshtaghaza

  • Classification of heart sound signal using curve fitting and fractal dimension

    Maryam Hamidi;Hassan Ghassemian;Maryam Imani

  • Content-based medical image classification using a new hierarchical merging scheme

    Hossein Pourghassem;Hassan Ghassemian

  • Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing

    Morteza Ghahremani;Hassan Ghassemian

  • Fusion of MS and PAN Images Preserving Spectral Quality

    Hamid Reza Shahdoosti;Hassan Ghassemian

  • A Compressed-Sensing-Based Pan-Sharpening Method for Spectral Distortion Reduction

    Morteza Ghahremani;Hassan Ghassemian

  • Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples

    Maryam Imani;Hassan Ghassemian

  • Integrating Hierarchical Segmentation Maps With MRF Prior for Classification of Hyperspectral Images in a Bayesian Framework

    Meysam Golipour;Hassan Ghassemian;Fardin Mirzapour

  • Feature space discriminant analysis for hyperspectral data feature reduction

    Maryam Imani;Hassan Ghassemian

  • Feature Extraction Using Weighted Training Samples

    Maryam Imani;Hassan Ghassemian

Frequent Co-Authors

David A. Landgrebe
David A. Landgrebe Purdue University West Lafayette
Saeid Minaei
Saeid Minaei Tarbiat Modares University
Hamid Dehghani
Hamid Dehghani University of Birmingham
Antonio Plaza
Antonio Plaza University of Extremadura
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Xia Li
Xia Li East China Normal University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a career in computer science opens doors to multiple related fields. Many students discover interests that lead them toward areas such as data analysis, accounting, justice administration, or even construction project management. Fortunately, a wide range of online degree options make it easier than ever to pivot or expand your career focus.

For example, those interested in law enforcement and technology may pursue a criminal justice degree online, blending computer science skills with investigative work. Alternatively, specializing in numbers and financial data can be achieved through a best online accounting program.

The booming field of big data has spurred demand for advanced qualifications. Earning a credential from one of the leading data science programs can lead to high-level analytics or artificial intelligence roles.

Finally, if applying technical expertise to real-world infrastructure projects interests you, an online construction management program offers a unique bridge between computing and building industries. Each of these pathways demonstrates the versatility and career flexibility offered by a foundation in computer science.

Best Scientists Citing Hassan Ghassemian

Trending Scientists

Recently Published Articles