"Multi-Polarization Methods to Detect and Classify Burned Areas using ..."

Emanuele Ferrentino et al. (2021)

> Home

Details and statistics

DOI: 10.1109/RTSI50628.2021.9597245

access: closed

type: Conference or Workshop Paper

metadata version: 2021-11-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/rtsi/FerrentinoNBSM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/rtsi/FerrentinoNBSM21
Emanuele Ferrentino, Ferdinando Nunziata, Andrea Buono, Maurizio Sarti, Maurizio Migliaccio:
Multi-Polarization Methods to Detect and Classify Burned Areas using Sentinel-1 Sar Data. RTSI 2021: 217-221

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.