抄録
Least squares matching requires appropriate interpolation of the gray values in the search window corresponding to a template. Since there are few reports on comparison of image interpolation methods on matching accuracy, we decided to investigate performance of image interpolation methods applied to least squares matching. This paper reports an experiment conducted to evaluate image interpolation methods on matching accuracy by using 54 diverse images. Three popular methods in remote sensing and digital photogrammetry : bi-linear interpolation (BL), bi-cubic interpolation (BC), and cubic convolution (CC) were investigated. The results do not necessarily indicate that the matching accuracy of all methods depends on the interpolation accuracy. The results demonstrate that BC can produce better matching results than BL and CC in most cases when an image has no noise or smaller noises. Meanwhile, the results demonstrate that there is nothing to choose among three interpolation methods when an image has larger noises. Since the differences of the matching accuracy among three methods were small to be neglected, we conclude that BL would be the best interpolation method applied to least squares matching considering its inexpensive computational cost.
