Statistical Modeling of the Reflection Symmetry Metric for Sea Clutter in Dual-Polarimetric SAR Data PROJECT TITLE :Statistical Modeling of the Reflection Symmetry Metric for Sea Clutter in Dual-Polarimetric SAR DataABSTRACT:Reflection symmetry is an intrinsic property used to tell apart man-made metallic targets and sea litter in dual-polarimetric artificial aperture radar (SAR) information. We have a tendency to derive a statistical model for the reflection symmetry metric (RSM) of ocean muddle using the covariance matrix between co-polarized and cross-polarized channels. Consequently, the model is theoretically analyzed for its appropriateness in describing the statistical behavior of the RSM of ocean clutter. We have a tendency to conjointly assess the suitability of the Student’s T location-scale (TLS) distribution for modeling the RSMs of sea muddle in twin-polarimetric SAR knowledge. Experiments based mostly on single look advanced (SLC) HH–HV and VV–VH dual-polarimetric SAR data acquired by L-band ALOS–PALSAR and C-band RADARSAT-two verify the prevalence of the model over the TLS distribution. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ritual Camera: Exploring Domestic Technology to Remember Everyday Life Development of an Environment-Aware Locomotion Mode Recognition System for Powered Lower Limb Prostheses
