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Books and Theses
- 2022
[b1]Moustapha Diaw:
Modélisation Statistique des Cartes des Dissimilarités Locales d'Images et Applications. (Statistical Modeling of Local Image Dissimilarity Maps and Applications). University of Reims Champagne-Ardenne, France, 2022
Journal Articles
- 2022
- [j2]Moustapha Diaw
, Agnès Delahaies, Jérôme Landré, Florent Retraint, Frédéric Morain-Nicolier:
Modeling a Local Dissimilarity Map With Weibull Distribution-Application to 2-Class and Multi-Class Image Classification. IEEE Access 10: 35750-35767 (2022) - [j1]Moustapha Diaw, Jérôme Landré, Agnès Delahaies, Frédéric Morain-Nicolier, Florent Retraint:
Optical Aerial Images Change Detection Based on a Color Local Dissimilarity Map and k-Means Clustering. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
Conference and Workshop Papers
- 2024
- [c3]Moustapha Diaw, Olivier Lerda, Joana Frontera-Pons, Frédéric Brigui, Jean Philippe Ovarlez:
Robust Statistics for Multi-Band SAR Image Change Detection. EUSIPCO 2024: 2207-2211 - 2022
- [c2]Moustapha Diaw, Jérôme Landré, Agnès Delahaies, Frédéric Morain-Nicolier, Florent Retraint:
Satellite Image Change Detection Using Disjoint Information and Local Dissimilarity Map. ICIP 2022: 36-40 - 2021
- [c1]Moustapha Diaw, Agnès Delahaies, Jérôme Landré, Frédéric Morain-Nicolier, Florent Retraint:
Fast process for classifying structural image pairs using Weibull parameters extracted from undersampled Local Dissimilarity Maps. EUSIPCO 2021: 631-635
Coauthor Index
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