Bathymetry Trackline Fitting Techniques at ACM SIGSPATIAL GIS 2009
Tsz-Yam Lau, You Li, Zhongyi Xie, and W. Randolph Franklin presented various ship trackline fitting techniques at the ACM SIGSPATIAL GIS 2009 conference in Seattle. The study explored methods such as Inverse Distance Weighting, Kriging, Voronoi, Linear Spline, Quadratic Spline, and more for bathymetry trackline fitting. The team also discussed the trade-offs between accuracy and smoothness in sparse overdetermined linear systems with limited precision data. Check out the details and visualizations from their research in the links provided.
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Tsz-Yam Lau, You Li, Zhongyi Xie, W. Randolph Franklin Rensselaer Polytechnic Institute Troy, NY, USA ACM SIGSPATIAL GIS 2009, Seattle
SHIP TRACKLINES INVERSE DISTANCE WEIGHTING Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 2
SHIP TRACKLINES KRIGING Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 3
SHIP TRACKLINES VORONOI Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 4
SHIP TRACKLINES LINEAR SPLINE Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 5
SHIP TRACKLINES QUADRATIC SPLINE Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 6
Sparse overdetermined linear system. R trades accuracy vs smoothness. Limited precision data: Too many resulting surface details not valid, but people like details. R=1 Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 7
Sparse overdetermined linear system. R trades accuracy vs smoothness. Limited precision data: Too many resulting surface details not valid, but people like details. R=5 Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 8
Sparse overdetermined linear system. R trades accuracy vs smoothness. Limited precision data: Too many resulting surface details not valid, but people like details. R=10 Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 9
Sparse overdetermined linear system. R trades accuracy vs smoothness. Limited precision data: Too many resulting surface details not valid, but people like details. R=20 Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 10
Sparse overdetermined linear system. R trades accuracy vs smoothness. Limited precision data: Too many resulting surface details not valid, but people like details. R=30 Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 11
Problem of the closest known points being widely varying distance away Solution: weight equations for different points differently Surface shows details with fewer artifacts. Lau, Li, Xie, Franklin - Bathymetry Trackline Fitting - ACM SIGSPATIAL GIS 2009 12
