Didier Guériot
Orcid: 0000-0002-3320-1234
According to our database1,
Didier Guériot
authored at least 18 papers
between 1996 and 2024.
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Bibliography
2024
ACM J. Data Inf. Qual., March, 2024
2021
Entropy, 2021
2020
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Super-Resolution-Based Snake Model - An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image.
Remote. Sens., 2020
Information System Services Generation of Business Services Specification and Based on a System-of-Services Logical Architecture Pattern.
Int. J. Cooperative Inf. Syst., 2020
2019
Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data.
CoRR, 2019
Robust Building-Based Registration of Airborne Lidar Data and Optical Imagery on Urban Scenes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
2016
Iterative Refinement of Possibility Distributions by Learning for Pixel-Based Classification.
IEEE Trans. Image Process., 2016
2015
A conceptual definition of a holonic processing framework to support the design of information fusion systems.
Inf. Fusion, 2015
2014
Proceedings of the ICPRAM 2014, 2014
2013
Proceedings of the Image Processing and Communications Challenges 5, 2013
Possibilistic Similarity based Image Classification.
Proceedings of the ICPRAM 2013, 2013
Iterative Possibility Distributions Refining in Pixel-based Images Classification Framework.
Proceedings of the ICPRAM 2013, 2013
2012
Vers une méthodologie de reconstruction 3D de scènes sous-marines par caméras. Problématiques et études préliminaires.
Traitement du Signal, 2012
1998
Underwater environment restitution through sonar images and swath bathymetry rendering.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
A local approach for a fuzzy error function used in multilayer perceptron training through genetic algorithm.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996