Bootstrap method for maximum likelihood displacement estimation of glaciers surface

Olivier Harant (1) , Laurent Ferro-Famil (2) , Michel Gay (3, 1) , Renaud Fallourd (4) , Emmanuel Trouvé (4)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 IETR - Institut d'Électronique et des Technologies du numéRique
3 GIPSA-Services - GIPSA-Services
4 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance

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 inital information for generating additionnal samples in order to enhance the available information. Some results on particular areas of a glacier are presented.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Olivier Harant, Laurent Ferro-Famil, Michel Gay, Renaud Fallourd, Emmanuel Trouvé. Bootstrap method for maximum likelihood displacement estimation of glaciers surface. IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.252-255, ⟨10.1109/IGARSS.2012.6351590⟩. ⟨hal-00949798⟩