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Appl. Sci. 2018, 8(6), 938;

Line Matching Based on Viewpoint-Invariance for Stereo Wide-Baseline Aerial Images

College of Geoscience and Surveying Engineering, China University of Mining &Technology, Beijing 100083, China
Key Laboratory of Unmanned Aerial Vehicle Telemetry, Guilin University of Aerospace Technology, Guilin 541004, China
Beijing Key Laboratory of Spatial Information Integration and Its Application, Peking University, Beijing 100871, China
Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
Authors to whom correspondence should be addressed.
Received: 12 April 2018 / Revised: 28 May 2018 / Accepted: 2 June 2018 / Published: 6 June 2018
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Line matching is the foundation of three-dimensional (3D) outline reconstruction for city buildings in aerial photogrammetry. Many existing studies have good line matching effects when dealing with aerial images with short baselines and small viewing angles. However, when faced with wide-baseline and large viewing-angle images, the matching effect drops sharply or even fails altogether. This paper deals with an efficient and simple method to achieve better line matching performance by a pair of wide-baseline aerial images, which make use of viewpoint-in variance to conduct line matching in rectified image spaces. Firstly, the perspective transformation relationship between the image plane and the geoid plane can be established from a Positioning and Orientation System (POS). Then, according to perspective projection matrices, two original images are separately rectified to conformal images, whose perspective deformation of large viewing-angle can be eliminated. Finally, the rectified images are used to conduct line matching, and the matched line segments obtained are back-projected to the original images. Four pairs of urban oblique aerial images are used to demonstrate the validity and efficiency of this method. Compared with line matching on original images, the number and the correctness of the matched line segments are greatly improved. Moreover, there is no loss of time efficiency. The proposed method can also be applied to general UAV (Unmanned Aerial Vehicle) aerial photogrammetry and introduced into matching for other geometric features, such as points, circles, curves, etc. View Full-Text
Keywords: line matching; perspective invariance; wide-baseline; stereo aerial images line matching; perspective invariance; wide-baseline; stereo aerial images

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Wang, Q.; Zhao, H.; Zhang, Z.; Cui, X.; Ullah, S.; Sun, S.; Liu, F. Line Matching Based on Viewpoint-Invariance for Stereo Wide-Baseline Aerial Images. Appl. Sci. 2018, 8, 938.

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