SEMANTIC SEGMENTATION USING A UNET ARCHITECTURE ON SENTINEL-2 DATA

5 citations as recorded by crossref.

1. Enhancing Autonomous Visual Perception in Challenging Environments: Bilateral Models with Vision Transformer and Multilayer Perceptron for Traversable Area Detection C. Urrea & M. Vélez
2. Empirical Evaluation of UNet for Segmentation of Applicable Surfaces for Seismic Sensor Installation M. Uzdiaev et al.
3. SEMANTIC SEGMENTATION OF ALGAL BLOOMS ON THE OCEAN SURFACE USING SENTINEL 3 CHL_NN BAND IMAGERY V. BHANDAGE & M. PAI M. M.
4. Deep learning applications on satellite imagery datasets for nuclear nonproliferation and counter-proliferation J. Han et al.
5. Use of the SNOWED Dataset for Sentinel-2 Remote Sensing of Water Bodies: The Case of the Po River M. Scarpetta et al.