Defining the uncertainty of electro-optical identification system performance estimates using a 3D optical environment derived from satellite
Proceedings of SPIE(2009)
摘要
Current United States Navy Mine-Counter-Measure (MCM) operations primarily use electro-optical identification
(EOID) sensors to identify underwater targets after detection via acoustic sensors. These EOID sensors which are based
on laser underwater imaging by design work best in clear waters and are limited in coastal waters especially with
strong optical layers. Optical properties and in particular scattering and absorption play an important role on systems
performance. Surface optical properties alone from satellite are not adequate to determine how well a system will
perform at depth due to the existence of optical layers. The spatial and temporal characteristics of the 3d optical
variability of the coastal waters along with strength and location of subsurface optical layers maximize chances of
identifying underwater targets by exploiting optimum sensor deployment. Advanced methods have been developed to
fuse the optical measurements from gliders, optical properties from satellite snapshot and 3-D ocean
circulation models to extend the two-dimensional (2-D) surface satellite optical image into a three-dimensional (3-D)
optical volume with subsurface optical layers. Modifications were made to an EOID performance model to integrate a
3-D optical volume covering an entire region of interest as input and derive system performance field. These
enhancements extend present capability based on glider optics and EOID sensor models to estimate the system's image
quality. This only yields system performance information for a single glider profile location in a very large operational
region. Finally, we define the uncertainty of the system performance by coupling the EOID performance model with the
3-D optical volume uncertainties. Knowing the ensemble spread of EOID performance field provides a new and unique
capability for tactical decision makers and Navy Operations.
更多查看译文
关键词
decision maker,optics,absorption,system performance,scattering,image quality,ocean circulation,region of interest,lasers,water,satellites,physical oceanography,three dimensional,sensors,optical imaging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要