Multi-spectral SWIR lidar for imaging and spectral discrimination through partial obscurations
Abstract
We have developed a multi-spectral SWIR lidar system capable of measuring simultaneous spatial-spectral information for imaging and spectral discrimination through partial obscurations. We employ objects in the presence and absence of a series of obscurants to evaluate the capability of the system in classifying the objects of interest based on spectral and range information. We employ a principal component analysis-based algorithm in classifying the objects and quantifying the accuracy of detection under various obscured scenarios. The merits of multi-spectral lidar over hyperspectral imaging are highlighted for target identification in the presence of obscurants.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 31, 2023
- Source ID
- 10.1364/oe.477499
Entities
People
- Abbie T. Watnik
- Di Lin
- Heath E. Gemar
- Joel M. Portier
- Michael K. Yetzbacher
- Vasanthi Sivaprakasam
Organizations
- Office of Naval Research
- United States Naval Research Laboratory
- University of Central Florida