ARTEMIdE - An Automated Underwater Material Recognition Method for Fluorescence LIDAR Invariant to Environmental Conditions.
Stefania MatteoliMarco DianiGiovanni CorsiniPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- environmental conditions
- pairwise
- clustering method
- recognition rate
- preprocessing
- multiscale
- high accuracy
- significant improvement
- objective function
- detection method
- similarity measure
- high recognition accuracy
- probabilistic model
- edge detection
- object recognition
- dynamic environments
- segmentation method
- image matching
- fully automatic
- recognition algorithm
- geometric transformations