"Comparison of Machine-Learning Methods for Urban Land-Use Mapping in ..."

Wanliu Mao et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12172817

access: open

type: Journal Article

metadata version: 2020-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/MaoLHLY20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/MaoLHLY20
Wanliu Mao, Debin Lu, Li Hou, Xue Liu, Wenze Yue:
Comparison of Machine-Learning Methods for Urban Land-Use Mapping in Hangzhou City, China. Remote. Sens. 12(17): 2817 (2020)

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.