"Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the ..."

Longzhe Quan et al. (2021)

> Home

Details and statistics

DOI: 10.3390/RS13122288

access: open

type: Journal Article

metadata version: 2023-06-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/QuanLLJLC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/QuanLLJLC21
Longzhe Quan, Hengda Li, Hailong Li, Wei Jiang, Zhaoxia Lou, Liqing Chen:
Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment. Remote. Sens. 13(12): 2288 (2021)

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.