BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE

14 citations as recorded by crossref.

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3. Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery V. Syrris et al. 10.3390/rs11080907
4. A spatially explicit database of wind disturbances in European forests over the period 2000–2018 G. Forzieri et al. 10.5194/essd-12-257-2020
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10. Comparing Sentinel-2 and Landsat 9 for land use and land cover mapping assessment in the north of Congo Republic: a case study in Sangha region L. Bill Donatien et al. 10.1080/01431161.2024.2394238
11. Sentinel-2 Images and Machine Learning as Tool for Monitoring of the Common Agricultural Policy: Calasparra Rice as a Case Study F. López-Andreu et al. 10.3390/agronomy11040621
12. Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature L. Tao et al. 10.1021/acs.jcim.1c01031
13. Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam H. Nguyen et al. 10.3390/rs12091367
14. Thematic Classification of Ukrainian Texts, Difficulties of its Introductions K. Bobrovnyk et al. 10.15407/usim.2019.01.041