"Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA ..."

Ramin Heidarian Dehkordi et al. (2024)

> Home

Details and statistics

DOI: 10.3390/RS16030492

access: open

type: Journal Article

metadata version: 2024-03-16

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/DehkordiCNCGCB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/DehkordiCNCGCB24
Ramin Heidarian Dehkordi, Gabriele Candiani, Francesco Nutini, Federico Carotenuto, Beniamino Gioli, Carla Cesaraccio, Mirco Boschetti:
Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images. Remote. Sens. 16(3): 492 (2024)

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.