![](https://dblp.uni-trier.de./img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Artificial intelligence-based software (AID-FOREST) for tree detection: A ..."
F. R. López Serrano et al. (2022)
- F. R. López Serrano
, Eva Rubio
, Francisco Antonio García Morote
, M. Andrés Abellán
, M. I. Picazo Córdoba, F. García Saucedo, Elisa García-Menendez, J. M. Sánchez García, J. Serena Innerarity, L. Carrasco Lucas, Omar García-González, J. C. García González:
Artificial intelligence-based software (AID-FOREST) for tree detection: A new framework for fast and accurate forest inventorying using LiDAR point clouds. Int. J. Appl. Earth Obs. Geoinformation 113: 103014 (2022)
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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.