"An Empirical Study of the Convolution Neural Networks Based Detection on ..."

Guangle Yao et al. (2022)

> Home

Details and statistics

DOI: 10.1109/JSTARS.2021.3132416

access: open

type: Journal Article

metadata version: 2024-03-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/staeors/YaoZLXWLJ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/staeors/YaoZLXWLJ22
Guangle Yao, Wenlong Zhou, Mingzhe Liu, Qiang Xu, Honghui Wang, Jun Li, Yuanzhen Ju:
An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery - A Case of Potential Loess Landslide. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 323-338 (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.