CAN SPOT-6/7 CNN SEMANTIC SEGMENTATION IMPROVE SENTINEL-2 BASED LAND COVER PRODUCTS? SENSOR ASSESSMENT AND FUSION
Needs for fine-grained, accurate and up-to-date land cover (LC) data are important to answer both societal and scientific purposes. Several automatic products have already been proposed, but are mostly generated out of satellite sensors like Sentinel-2 (S2) or Landsat. Metric sensors, e.g. SPOT-6/7,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-08-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/557/2020/isprs-annals-V-2-2020-557-2020.pdf |