Simona Niculescu
Orcid: 0000-0003-1141-3233
According to our database1,
Simona Niculescu
authored at least 12 papers
between 2003 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest.
Remote. Sens., April, 2023
Editorial for Special Issue "Remote Sensing for Coastal and Aquatic Ecosystems' Monitoring and Biodiversity Management".
Remote. Sens., February, 2023
2022
Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France.
Remote. Sens., 2022
Editorial for Special Issue: "New Insights into Ecosystem Monitoring Using Geospatial Techniques".
Remote. Sens., 2022
2021
Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC).
Remote. Sens., 2021
2020
Correction: Niculescu, S., et al. Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta. Remote Sensing 2020, 12(14), 2188.
Remote. Sens., 2020
Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta.
Remote. Sens., 2020
Discovered changes in rice occupation with satellite images based on random forest approach.
Proceedings of the ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing, 2020
2019
Proceedings of the Context-Aware Systems and Applications, and Nature of Computation and Communication, 2019
2016
Synergy Between LiDAR, RADARSAT-2, and Spot-5 Images for the Detection and Mapping of Wetland Vegetation in the Danube Delta.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
2003
Rev. Int. Géomatique, 2003