TY - GEN
T1 - Densification algorithm research on gravity gradiometer reference map generation
AU - Zou, Yao
AU - Shen, Xiaorong
PY - 2012
Y1 - 2012
N2 - Gravity gradient aided inertial navigation system is of a great significance for long-endurance passive automatic navigation. Under the circumstance that the actual gravity gradient data cannot be measured with the gradiometer, the map generation methods calculated by digital elevation model were researched. In order to generate high-resolution full-tensor gravity gradient maps, several densification algorithms, such as the Lagrange Interpolation Method, the Cubic Convolution Interpolation Method, the Improved Shepard Interpolation Method and the Radial Basis Function Interpolation Method were presented and compared.
AB - Gravity gradient aided inertial navigation system is of a great significance for long-endurance passive automatic navigation. Under the circumstance that the actual gravity gradient data cannot be measured with the gradiometer, the map generation methods calculated by digital elevation model were researched. In order to generate high-resolution full-tensor gravity gradient maps, several densification algorithms, such as the Lagrange Interpolation Method, the Cubic Convolution Interpolation Method, the Improved Shepard Interpolation Method and the Radial Basis Function Interpolation Method were presented and compared.
KW - Densification Algorithm
KW - Digital Elevation Model
KW - Gravity Gradient Reference Map
UR - https://www.scopus.com/pages/publications/84866688064
U2 - 10.1109/ICSSE.2012.6257198
DO - 10.1109/ICSSE.2012.6257198
M3 - 会议稿件
AN - SCOPUS:84866688064
SN - 9781467309455
T3 - Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012
SP - 315
EP - 320
BT - Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012
T2 - 2012 International Conference on System Science and Engineering, ICSSE 2012
Y2 - 30 June 2012 through 2 July 2012
ER -