Abstract
In this paper, remote sensing data of Amery ice shelf was used to study Antarctica ice motion and flux problem by a hierarchical image matching method. It combines feature points and grid points to provide a dense, precise and reliable matching result. First, seed points are extracted at the top level of image pyramid using the SIFT algorithm with RANSAC approach to remove mismatches and enhance robustness. These points are used to construct an initial triangulation. Then, feature point and grid point matching are conducted based on the triangle constraint. In the process of hierarchical image matching, the parallaxes from upper levels are transferred to levels beneath with triangle constraint. At last, outliers are detected and removed based on local smooth constraint of parallax. Also, bidirectional image matching method is adopted to verify the matching results and increase the number of matched points. Experiments with Landsat7 images show that the proposed method has the capacity to generate reliable and dense matching results for surface velocity estimation from stereo satellite imagery. Global warming will lead to Amery shelf and glaciers melt and flow rate increase, which can be confirmed by on-site GPS and remote sensing data. Through research the ice shelf flow velocity field, the bottom can calculate the ice flux of this area, and result confirm that the impact of climate for glacier and ice shelf.
Highlights
The Amery Ice Shelf (AIS) is the third largest embayed shelf in Antarctica
normalized cross-correlation (NCC) is selected as the matching score to measure the similarity between corresponding points of a stereo pair and the selection of window size will be discussed in experimental section
This paper presented a triangulation based hierarchical image matching method for stereo satellite imagery
Summary
The Amery Ice Shelf (AIS) (figure 1-1) is the third largest embayed shelf in Antarctica. In the current context of global warming, Amery Ice Shelf’s slight changes will exert huge impact on the world environment and global climate It drains the grounded ice from the interior of the Lambert Glacier drainage basin, which covers 16% of the mass of the East Antarctic ice sheet and is the world’s largest glacier by volume[2]. Image matching and feature tracking technique can be used to measure surface velocity of ice flow. A triangulation-based hierarchical image matching algorithm for stereo satellite imagery is described. It uses a coarse-to-fine hierarchical strategy and combines feature points and grid points to provide a dense, precise and reliable matching result. Uniqueness constraint is that searching for matching point on the right image, taking left image as reference, matching point with right image and reference point with left image should be consistent
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