Title :
Bootstrap method for maximum likelihood displacement estimation of glaciers surface
Author :
Harant, Olivier ; Ferro-Famil, Laurent ; Gay, Michel ; Fallourd, Renaud ; Trouvé, Emmanuel
Author_Institution :
Grenoble-Image-sPeech-Signal-Automatics Lab., Grenoble INP, Grenoble, France
Abstract :
This paper proposes a way of improvement of the ML texture tracking method using bootstrap sampling. A quality factor is introduced to measure the accuracy of estimation. It is based on both statistics and image processing. The bootstrap sampling uses the initial information for generating additional samples in order to enhance the available information. Some results on particular areas of a glacier are presented.
Keywords :
bootstrapping; geophysical image processing; geophysical techniques; glaciology; image sampling; image texture; maximum likelihood estimation; ML texture tracking method; bootstrap method; bootstrap sampling method; glacier surface; image processing; maximum likelihood displacement estimation; statistic analysis; Accuracy; Image resolution; Maximum likelihood estimation; Q factor; Radar tracking; Surface treatment;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351590
