"Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring."

Thomas Fisher et al. (2022)

> Home

Details and statistics

DOI: 10.3390/RS14133072

access: open

type: Journal Article

metadata version: 2022-08-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/FisherGLAPSHCRM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/FisherGLAPSHCRM22
Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaïne, Yutong Cai, Kazem Rahimi, Mohammad Mamouei:
Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring. Remote. Sens. 14(13): 3072 (2022)

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.