Improved Multiple Matching Method for Observing Glacier Motion with Repeat Image Feature Tracking.

ABSTRACT: Repeat Image Feature Tracking (RIFT) is commonly used to measure glacier surface motion from pairs of images, most often utilizing normalized cross correlation (NCC). The Multiple-Image Multiple-Chip (MIMC) algorithm successfully employed redundant matching (i.e. repeating the matching process over each area using varying combinations of settings) to increase the matching success rate. Due to the large number of repeat calculations, however, the original MIMC algorithm was slow and still prone to failure in areas of high shearing flow. Here we present several major updates to the MIMC algorithm that increase both speed and matching success rate. First, we include additional redundant measurements by swapping the image order and matching direction; a process we term Quadramatching. Second,

SUBMITTER: Jeong S 

PROVIDER: S-EPMC6505704 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature