Paper
14 October 2014 Design and validation of object recognition methodologies for underwater fluorescence Lidar applications
Author Affiliations +
Abstract
Goal of this work is to present and validate an underwater object spectral recognition methodology for fluorescence LIDAR signals by using an underwater fluorescence LIDAR propagation model. The spectral recognition methodology is aimed at deciding if an underwater object detected in the water column can be identified as belonging to a data base of objects of interest characterized by known fluorescence spectral signatures. The methodology needs to compensate the received signal for the water column effects in order to derive an estimate of the underwater object fluorescence spectrum to be used for spectral recognition. By using an underwater fluorescence LIDAR propagation model developed ad hoc, the methodology may be validated in different system, geometric, and environmental conditions. Experimental results obtained in two different acquisition scenarios show that the underwater object recognition methodology is promising for recognizing objects submerged in the water column at different depths and highlight the utility of the developed LIDAR propagation model for assessing the object recognition performance that may be experienced in various different acquisition conditions.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefania Matteoli, Laura Zotta, Marco Diani, and Giovanni Corsini "Design and validation of object recognition methodologies for underwater fluorescence Lidar applications", Proc. SPIE 9240, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, 92400Q (14 October 2014); https://doi.org/10.1117/12.2067317
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Luminescence

LIDAR

Object recognition

Water

Signal processing

Data acquisition

Receivers

RELATED CONTENT

Frequency-agile CO2 DIAL for environmental monitoring
Proceedings of SPIE (June 03 1994)
Lidar volumetric signals through random surface of ocean
Proceedings of SPIE (December 31 1992)
Narrow field of view bathymetrical lidar theory and field...
Proceedings of SPIE (November 05 2003)
High-fidelity ladar simulation
Proceedings of SPIE (September 13 2004)
Lidar imaging in highly turbid water
Proceedings of SPIE (October 30 2001)

Back to Top