"A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery ..."

Wen Jia et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12030432

access: open

type: Journal Article

metadata version: 2025-11-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/JiaPTSLR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/JiaPTSLR20
Wen Jia, Yong Pang, Riccardo Tortini, Daniel Schläpfer, Zengyuan Li, Jean-Louis Roujean:
A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography. Remote. Sens. 12(3): 432 (2020)

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.