"Comparison of Pixel- and Object-Based Classification Methods of Unmanned ..."

Michaela De Giglio et al. (2019)

> Home

Details and statistics

DOI: 10.3390/RS11121416

access: open

type: Journal Article

metadata version: 2020-05-11

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/GiglioGGMDB19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/GiglioGGMDB19
Michaela De Giglio, Nicolas Greggio, Floriano Goffo, Nicola Merloni, Marco Dubbini, Maurizio Barbarella:
Comparison of Pixel- and Object-Based Classification Methods of Unmanned Aerial Vehicle Data Applied to Coastal Dune Vegetation Communities: Casal Borsetti Case Study. Remote. Sens. 11(12): 1416 (2019)

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.