Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
Variational Approaches on Discontinuity Localization and Field Estimation in Sea Surface Temperature and Soil Moisture Interpolations
Authors: Walter Sun, Müjdat Çetin, W. Carlisle Thacker, T. Mike Chin, and Alan S. Willsky
Published in: IEEE Trans. Geoscience and Remote Sensing
Publication year: 2006
Abstract: Some applications in remote sensing require esti- mating a field containing a discontinuity whose exact location is a priori unknown. Such fields of interest include sea surface temperature in oceanography and soil moisture in hydrology. For the former, oceanic fronts form a temperature discontinuity, while in the latter sharp changes exist across the interface be- tween soil types. To complicate the estimation process, remotely sensedmeasurements often exhibit regions of missing observations due to occlusions such as cloud cover. Similarly, water surface and ground-based sensors usually provide only an incomplete set of measurements. Traditional methods of interpolation and smoothing for estimating the fields from such potentially sparse measurements often blur across the discontinuities in the field
  download full paper

Home Back