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Mathematical Problems in Engineering
Volume 2017, Article ID 7901692, 14 pages
https://doi.org/10.1155/2017/7901692
Research Article

A Subpixel Matching Method for Stereovision of Narrow Baseline Remotely Sensed Imagery

1College of Computer Science and Information Engineering, Harbin Normal University, Normal University Road 1, Harbin 150001, China
2College of Computer Science and Technology, Harbin Engineering University, Nantong Street 145, Harbin 150001, China

Correspondence should be addressed to Chao-guang Men; nc.ude.uebrh@gnaugoahcnem

Received 24 August 2016; Revised 9 January 2017; Accepted 26 January 2017; Published 23 February 2017

Academic Editor: Ram Avtar

Copyright © 2017 Ning Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, an accurate and efficient image matching method based on phase correlation is proposed to estimate disparity with subpixel precision, which is used for the stereovision of narrow baseline remotely sensed images. The multistep strategy is adopted in our technical frame; thus the disparity estimation is divided into two steps: integer-pixel prematching and subpixel matching. Firstly, integer-pixel disparity is estimated by employing a cross-based local matching method. Then the relationship of corresponding points is established under the guidance of integer-pixel disparity. The subimages are extracted through selecting the corresponding points as the center. Finally, the subpixel disparity is obtained by matching the subimages utilizing a novel variant of phase correlation approach. The experiment results show that the proposed method can match different kinds of large-sized narrow baseline remotely sensed images and estimate disparity with subpixel precision automatically.