14 October 2014 First year sea ice characterization from Quad-pol H-A-α classification
Author Affiliations +
Abstract
At spring when solar irradiance and air temperature turn snow and ice into an array of surface scatterers, point scatterers become the main signature of ridged environments. This information is better retained in unfiltered T3 matrixes. On another hand a Lee filtered T3 matrix gives information about the diversity of a distributed target which is equally indicative of the higher variability within ridges. In order to keep both in a single set of data, we computed an hybrid matrix composed of the alpha parameter from a single look T3 matrix and the entropy of the same matrix from a Lee 3x3 matrix. As revealed running a Wishart classification algorithm, this approach increases greatly the contrast between ridged and flat areas. The statistics presented in the results section were computed from areas characterized as a) linear ridges, b) rubble fields, c) type 1 un-deformed ice and, d) type 2 un-deformed ice. Un-deformed type 1 ice dates back to the previous fall freeze-up period while un-deformed type 2 ice is a thinner ice formed later through the winter season when the ice pack open up under certain wind conditions and new ice can develop into a flat section. While this technique couldn’t be used during most of the winter season, this may present a great potential to extract narrow linear structures when snow wetness increase surface scattering and therefore the occurrence of single and double bounce scattering mechanisms.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Hudier, Eric Hudier, } "First year sea ice characterization from Quad-pol H-A-α classification", Proc. SPIE 9240, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, 924004 (14 October 2014); doi: 10.1117/12.2066187; https://doi.org/10.1117/12.2066187
PROCEEDINGS
7 PAGES


SHARE
Back to Top