Integrating semianalytical and genetic algorithms to retrieve the constituents of water bodies from remote sensing of ocean color.
This work presents a novel GA-SA approach to retrieve the constituents of water bodies from remote sensing of ocean color. This approach is validated and compared to the existing algorithms using the same synthetic and in-situ datasets compiled by the International Ocean Color Coordinate Group. Comparing to the other methods, the GA-SA approach provides better retrievals for both the inherent optical properties and various water constituents. This novel approach is successfully applied in processing the images taken by MODerate resolution Imaging Spectroradiometer (MODIS) and generates regional maps of chlorophyll-a concentration, total suspended matter, and the absorption coefficient of color dissolved organic matter at 443nm.
Chang
Chih Hua
CH
Liu
Cheng-Chien
CC
Wen
Ching Gung
CG