Title :
Inversion of ocean color observations using particle swarm optimization
Author :
Slade, Wayne H. ; Ressom, Habtom W. ; Musavi, Mohamad T. ; Miller, Richard L.
Author_Institution :
Sch. of Marine Sci., Univ. of Maine, Orono, ME, USA
Abstract :
Inversion of ocean color reflectance measurements can be cast as an optimization problem, where particular parameters of a forward model are optimized in order to make the forward-modeled spectral reflectance match the spectral reflectance of a given in situ sample. Here, a simulated ocean color dataset is used to test the capability of a recently introduced global optimization process, particle swarm optimization (PSO), in the retrieval of optical properties from ocean color. The performance of the PSO method was compared with the more common genetic algorithms (GA) in terms of model accuracy and computation time. The PSO method has been shown to outperform the GA in terms of model error. Of particular importance to ocean color remote sensing is the speed advantage that PSO affords over GA.
Keywords :
genetic algorithms; inverse problems; oceanographic techniques; oceanography; remote sensing; spectral analysis; computational intelligence; forward-modeled spectral reflectance; genetic algorithms; global optimization; model error; ocean color observation inversion; ocean color reflectance measurements; optical property retrieval; optimization problem; particle swarm optimization; remote sensing; Color; Genetic algorithms; Information retrieval; Oceans; Optical sensors; Particle measurements; Particle swarm optimization; Reflectivity; Sea measurements; Testing; Computational intelligence; global optimization; remote sensing inversion;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2004.833389