Article
Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data
2022-10-01
Abstract excerpt
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban development. Earth Observation (EO) is a valuable data source to cover this demand. In particular, Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral Instrument (MSI) missions offer new opportunities to map built-up areas on a global scale. Using Sentinel-2 images, recent urban mapping efforts achieved promi...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 9cff98fa-5fe0-5949-bbb2-a467add6aac3
- DOI
- 10.1016/j.rse.2022.113192
