Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions
Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
This work presents a submerged object recognition method with fluorescence LIDAR that can be applied when no a priori information about environmental conditions is available. Whereas conventional methods require the availability of either LIDAR measurements of water samples or accurate knowledge about environmental conditions, the approach investigated here remove such assumptions. Experimental results on real data acquired in laboratory show the potential of the approach.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Fluorescence LIDAR; invariance; LIDAR simulation; target recognition; underwater material discriminability
Elenco autori:
Matteoli, Stefania
Link alla scheda completa: