A review of remote sensing image fusion methods H Ghassemian Information Fusion 32, 75-89, 2016 | 803 | 2016 |
MRI and PET image fusion by combining IHS and retina-inspired models S Daneshvar, H Ghassemian Information fusion 11 (2), 114-123, 2010 | 342 | 2010 |
High impedance fault detection based on wavelet transform and statistical pattern recognition AR Sedighi, MR Haghifam, OP Malik, MH Ghassemian IEEE Transactions on Power Delivery 20 (4), 2414-2421, 2005 | 273 | 2005 |
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges M Imani, H Ghassemian Information fusion 59, 59-83, 2020 | 230 | 2020 |
Combining the spectral PCA and spatial PCA fusion methods by an optimal filter HR Shahdoosti, H Ghassemian Information Fusion 27, 150-160, 2016 | 208 | 2016 |
Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges B Jamshidi, S Minaei, E Mohajerani, H Ghassemian Computers and Electronics in Agriculture 85, 64-69, 2012 | 185 | 2012 |
Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF R Rajabi, H Ghassemian IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12 (1), 38-42, 2015 | 165 | 2015 |
Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal M Mohebbi, H Ghassemian Computer methods and programs in biomedicine 105 (1), 40-49, 2012 | 158 | 2012 |
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 | 147 | 2014 |
Improving hyperspectral image classification by combining spectral, texture, and shape features F Mirzapour, H Ghassemian International Journal of Remote Sensing 36 (4), 1070-1096, 2015 | 132 | 2015 |
Classification of heart sound signal using curve fitting and fractal dimension M Hamidi, H Ghassemian, M Imani Biomedical Signal Processing and Control 39, 351-359, 2018 | 130 | 2018 |
Nonlinear IHS: A promising method for pan-sharpening M Ghahremani, H Ghassemian IEEE Geoscience and Remote Sensing Letters 13 (11), 1606-1610, 2016 | 128 | 2016 |
Applied machine vision and artificial neural network for modeling and controlling of the grape drying process NB Khazaei, T Tavakoli, H Ghassemian, MH Khoshtaghaza, A Banakar Computers and electronics in agriculture 98, 205-213, 2013 | 122 | 2013 |
Content-based medical image classification using a new hierarchical merging scheme H Pourghassem, H Ghassemian Computerized Medical Imaging and Graphics 32 (8), 651-661, 2008 | 120 | 2008 |
Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing M Ghahremani, H Ghassemian IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12 (3), 502-507, 2015 | 111 | 2015 |
Electrical load forecasting using customers clustering and smart meters in Internet of Things M Imani, H Ghassemian 2018 9th International Symposium on Telecommunications (IST), 113-117, 2018 | 104 | 2018 |
A compressed-sensing-based pan-sharpening method for spectral distortion reduction M Ghahremani, H Ghassemian IEEE Transactions on Geoscience and remote Sensing 54 (4), 2194-2206, 2015 | 103 | 2015 |
Fusion of MS and PAN Images Preserving Spectral Quality HR Shahdoosti, H Ghassemian IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12 (3), 611-615, 2015 | 103 | 2015 |
Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples M Imani, H Ghassemian IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 11 (8), 1325-1330, 2014 | 99 | 2014 |
Integrating Hierarchical Segmentation Maps With MRF Prior for Classification of Hyperspectral Images in a Bayesian Framework M Golipour, H Ghassemian, F Mirzapour IEEE Transactions on Geoscience and Remote Sensing 54 (2), 1-12, 2016 | 90 | 2016 |