A constrained optimization technique for estimating environmentalparameters from CZMIL Hyperspectral and Lidar Data

摘要

We have developed a combined atmospheric-oceanographic spectral optimization solution decomposing measuredairborne radiance data from the passive spectrometer into environmental parameters of interest. In this model, we holddepth measurements from the lidar as fixed constraints, thereby gaining a degree of freedom in the solution, andextending the solution into deeper waters than achieved with passive data alone. In this paper, we illustrate results of thedata processing procedure and assess the accuracy of estimated IOPs (Inherent Optical Properties) parameters throughcomparison to in-situ measurements.