Title | ||
---|---|---|
A modified temporal criterion to meta-optimize the extended Kalman filter for land cover classification of remotely sensed time series. |
Abstract | ||
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•An unsupervised meta-optimization for fitting parametric model to time series.•Minimizes standard deviation in model variables and magnitude of residuals.•Model variables can be used for classifying land cover.•Method is completely parallelizable and scales linear with geographical area.•Method derives optimal setting for each time series individually. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.jag.2017.12.007 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Kalman filtering,Remote sensing,Satellites,Time series | Spatial analysis,Moderate-resolution imaging spectroradiometer,Extended Kalman filter,Trigonometric functions,Remote sensing,Support vector machine,Kalman filter,Ground truth,Geography,Land cover | Journal |
Volume | ISSN | Citations |
67 | 0303-2434 | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Brian P. Salmon | 1 | 150 | 27.18 |
Waldo Kleynhans | 2 | 111 | 27.45 |
Jan C. Olivier | 3 | 148 | 29.36 |
Frans van den Bergh | 4 | 189 | 21.35 |
Konrad J. Wessels | 5 | 98 | 20.52 |