"Object-Based Canopy Gap Segmentation and Classification: Quantifying the ..."

Jian Yang et al. (2015)

> Home

Details and statistics

DOI: 10.3390/RS71215811

access: open

type: Journal Article

metadata version: 2024-06-18

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/YangJCH15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/YangJCH15
Jian Yang, Trevor A. Jones, John P. Caspersen, Yuhong He:
Object-Based Canopy Gap Segmentation and Classification: Quantifying the Pros and Cons of Integrating Optical and LiDAR Data. Remote. Sens. 7(12): 15917-15932 (2015)

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.