[1].Method of reducing HASM boundary error[J].遥感学报,2009,13(03):453-457.
CHEN Chuan-fa, YUE Tian-xiang, LU Yi-min Institute of Geographic Sciences and Natural Resources Research, et al. Method of reducing HASM boundary error[J]. Journal of Remote Sensing, 2009,13(3):453-457.
[1].Method of reducing HASM boundary error[J].遥感学报,2009,13(03):453-457.DOI:
CHEN Chuan-fa, YUE Tian-xiang, LU Yi-min Institute of Geographic Sciences and Natural Resources Research, et al. Method of reducing HASM boundary error[J]. Journal of Remote Sensing, 2009,13(3):453-457.DOI:
High accuracy surface modeling(HASM)constructed based on the fundamental theorem of surface is more accu-rate than the classical methods.However
because of boundary error
location error
etc
HASM has a big accuracy loss in real-world examples.In former researches we solved the location error with Taylor expansion.In order to reduce the HASM boundary error and improve its accuracy further
this paper presents a new method of Laplace interpolation to compute the re-gion boundary value.Gaussian synthetic surface and the real world test region are employed to validate the efficiency of this method.Results show that the boundary value computed with Laplace interpolation is more accurate than the classical methods
which can be regarded as an alternative for boundary value computation.
Abstract
High accuracy surface modeling(HASM)constructed based on the fundamental theorem of surface is more accu-rate than the classical methods.However
because of boundary error
location error
etc
HASM has a big accuracy loss in real-world examples.In former researches we solved the location error with Taylor expansion.In order to reduce the HASM boundary error and improve its accuracy further
this paper presents a new method of Laplace interpolation to compute the re-gion boundary value.Gaussian synthetic surface and the real world test region are employed to validate the efficiency of this method.Results show that the boundary value computed with Laplace interpolation is more accurate than the classical methods
which can be regarded as an alternative for boundary value computation.