Gia Lamela

TL;DR: The results of a study of optical scattering and backscattering of particulates for three coastal sites that represent a wide range of optical properties that are found in U.S. near-shore waters can be well approximated by a power-law function of wavelength.

TL;DR: Automatic land cover classification maps were developed from Airborne Hyperspectral Scanner imagery acquired May 8, 2000 over Smith Island, VA, a barrier island in the Virginia Coast Reserve to develop models that would be useful to natural resource managers at higher spatial resolution than has been available previously.

TL;DR: A credit assignment approach to decision-based classifier fusion is developed and applied to the problem of land-cover classification from multiseason airborne hyperspectral imagery, using a smoothed estimated reliability measure (SERM) in the output domain of the classifiers.

TL;DR: The use of manifold learning techniques to separate the various curves, thus partitioning the scene into homogeneous areas is investigated, and ways in which these techniques may be able to derive various scene characteristics such as bathymetry are discussed.

TL;DR: The separation of paniculate phase into organic and inorganic components through remote sensing has only recently been addressed in this article, where the authors present algorithms to estimate the concentrations of total suspended solids, paniculate organic matter, and paniculate inorganic matter from SeaWiFS imagery.