共 50 条
- [24] Towards a fully automatic processing chain for operationally mapping burned areas countrywide exploiting Sentinel-2 imagery SEVENTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2019), 2019, 11174
- [26] A COMPARISON OF DEEP LEARNING-BASED SUPER-RESOLUTION FRAMEWORKS FOR SENTINEL-2 IMAGERY IN URBAN AREAS GEOSPATIAL WEEK 2023, VOL. 10-1, 2023, : 1021 - 1026
- [27] Deep learning-based burned forest areas mapping via Sentinel-2 imagery: a comparative study Environmental Science and Pollution Research, 2024, 31 : 5304 - 5318
- [29] Joint use of time series Sentinel-1 and Sentinel-2 imagery for cotton field mapping in heterogeneous cultivated areas of Xinjiang, China 2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2019,