"Accuracy, Efficiency, and Transferability of a Deep Learning Model for ..."

Lingcao Huang et al. (2022)

> Home

Details and statistics

DOI: 10.3390/RS14122747

access: open

type: Journal Article

metadata version: 2025-08-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/HuangLFTWS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/HuangLFTWS22
Lingcao Huang, Trevor C. Lantz, Robert H. Fraser, Kristy F. Tiampo, Michael J. Willis, Kevin M. Schaefer:
Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic. Remote. Sens. 14(12): 2747 (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.