NDLI: Multi-view oblique aerial image sparse matching

Content Provider	IEEE Xplore Digital Library
Author	Zhenchao Zhang Chenguang Dai Delin Mo Mingyan Zhao
Copyright Year	2014
Description	Author affiliation: Inst. of Geospatial Inf., Inf. Eng. Univ., Zhengzhou, China (Zhenchao Zhang; Chenguang Dai; Delin Mo; Mingyan Zhao)
Abstract	Compared to traditional approximately vertical aerial photogrammetry, multi-view oblique aerial photogrammetry takes photos from multiple directions simultaneously and gets a high degree of overlapping images and side texture so as to effectively compensate for the image occlusion. Multi-view oblique photogrammetry provides a new means for 3D reconstruction and earth observation and becomes an important trend in the survey area. The world's current mainstream multi-view cameras are summarized and characteristics of oblique images are analyzed. Epipolar constraint based on fundamental matrix and exterior orientation elements are compared. The applicability of area-based matching algorithm for oblique images is explored. Experiments show that area-based matching is no longer applicable to multi-view oblique images, but geometric distortion correction or compensation can make area-based matching continue to apply.
Starting Page	216
Ending Page	220
File Size	605197
Page Count	5
File Format	PDF
e-ISBN	9781479941841
DOI	10.1109/EORSA.2014.6927881
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient Earth Accuracy Image matching epipolar constraint Cameras multi-view aerial image area-based matching sparse matching Remote sensing Lenses
Content Type	Text
Resource Type	Article

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