| BandClust: An unsupervised band reduction method for hyperspectral remote sensing C Cariou, K Chehdi, S Le Moan IEEE Geoscience and Remote Sensing Letters 8 (3), 565-569, 2010 | 101 | 2010 |
| A constrained band selection method based on information measures for spectral image color visualization S Le Moan, A Mansouri, Y Voisin, JY Hardeberg IEEE Transactions on Geoscience and Remote Sensing 49 (12), 5104-5115, 2011 | 62 | 2011 |
| Saliency for spectral image analysis S Le Moan, A Mansouri, JY Hardeberg, Y Voisin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 47 | 2013 |
| Color and sharpness assessment of single image dehazing J El Khoury, S Le Moan, JB Thomas, A Mansouri Multimedia tools and applications 77, 15409-15430, 2018 | 34 | 2018 |
| A novel mean-shift algorithm for data clustering C Cariou, S Le Moan, K Chehdi IEEE Access 10, 14575-14585, 2022 | 30 | 2022 |
| Image-difference prediction: from color to spectral S Le Moan, P Urban IEEE Transactions on Image Processing 23 (5), 2058-2068, 2014 | 29 | 2014 |
| Improving K-nearest neighbor approaches for density-based pixel clustering in hyperspectral remote sensing images C Cariou, S Le Moan, K Chehdi Remote Sensing 12 (22), 3745, 2020 | 19 | 2020 |
| Exploiting change blindness for image compression S Le Moan, I Farup 2015 11th International Conference on Signal-Image Technology & Internet …, 2015 | 15 | 2015 |
| A database for spectral image quality S Le Moan, ST George, M Pedersen, J Blahová, JY Hardeberg Image Quality and System Performance XII 9396, 225-232, 2015 | 15 | 2015 |
| A class-separability-based method for multi/hyperspectral image color visualization S Le Moan, A Mansouri, JY Hardeberg, Y Voisin 2010 IEEE International Conference on Image Processing, 1321-1324, 2010 | 14 | 2010 |
| Saliency in spectral images S Le Moan, A Mansouri, J Hardeberg, Y Voisin Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011 | 13 | 2011 |
| Evidence of change blindness in subjective image fidelity assessment S Le Moan, M Pedersen 2017 IEEE International Conference on Image Processing (ICIP), 3155-3159, 2017 | 12 | 2017 |
| Evaluating the perceived quality of spectral images S Le Moan, P Urban 2013 IEEE International Conference on Image Processing, 2024-2028, 2013 | 12 | 2013 |
| The influence of short-term memory in subjective image quality assessment S Le Moan, M Pedersen, I Farup, J Blahová 2016 IEEE International Conference on Image Processing (ICIP), 91-95, 2016 | 10 | 2016 |
| Analysing arbitrary curves from the line hough transform D Bailey, Y Chang, S Le Moan Journal of Imaging 6 (4), 26, 2020 | 9 | 2020 |
| Minimax bridgeness-based clustering for hyperspectral data S Le Moan, C Cariou Remote Sensing 12 (7), 1162, 2020 | 9 | 2020 |
| Evaluating the multi-Scale iCID metric S Le Moan, J Preiss, P Urban Image quality and system performance XII 9396, 352-356, 2015 | 9 | 2015 |
| Spectral printing with a CMYKRGB printer: a closer look S Le Moan, P Urban Color and Imaging Conference 22, 131-135, 2014 | 8 | 2014 |
| A new connection space for low-dimensional spectral color management S Le Moan, P Urban Measuring, Modeling, and Reproducing Material Appearance 9018, 92-97, 2014 | 8 | 2014 |
| Improved nearest neighbor density-based clustering techniques with application to hyperspectral images C Cariou, K Chehdi, S Le Moan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
