Geolocation-Aware Land Cover Classification from Sentinel-2 Images
Author:
Affiliation:
1. University of Bundeswehr,Department of Aerospace Engineering,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640576.pdf?arnumber=10640576
Reference10 articles.
1. Optical remotely sensed time series data for land cover classification: A review
2. Land-cover classification with high-resolution remote sensing images using transferable deep models
3. Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models
4. Land cover classification from remote sensing images based on multi-scale fully convolutional network
5. ESA WorldCover 10 m 2021 v200;Zanaga,2022
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