Capabilities of full-polarimetric PALSAR/ALOS for snow extent mapping
IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing …, 2008•ieeexplore.ieee.org
Snow classification using full-polarimetric PALSAR data is investigated in this paper. It is first
demonstrated that dry snowpack over frozen ground slightly affects polarimetric signature at
L-band. Given the fact that PALSAR data do not permit the use of a simplistic threshold-
based method, a refined method for Snow Covered Area mapping is outlined. A supervised
Support Vector Machine approach is used showing fairly good results within the framework
of a three-classes classification (dry snow over frozen ground, wet snow and no snow).
demonstrated that dry snowpack over frozen ground slightly affects polarimetric signature at
L-band. Given the fact that PALSAR data do not permit the use of a simplistic threshold-
based method, a refined method for Snow Covered Area mapping is outlined. A supervised
Support Vector Machine approach is used showing fairly good results within the framework
of a three-classes classification (dry snow over frozen ground, wet snow and no snow).
Snow classification using full-polarimetric PALSAR data is investigated in this paper. It is first demonstrated that dry snowpack over frozen ground slightly affects polarimetric signature at L-band. Given the fact that PALSAR data do not permit the use of a simplistic threshold-based method, a refined method for Snow Covered Area mapping is outlined. A supervised Support Vector Machine approach is used showing fairly good results within the framework of a three-classes classification (dry snow over frozen ground, wet snow and no snow).
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果