NDLI: Discussion on the mosaic and geometric correction technique of UAV remote sensing image

Content Provider	IEEE Xplore Digital Library
Author	Yujuan Yue Dongliang Li Ying Li Jun Sun Jianhua Gong
Copyright Year	2010
Description	Author affiliation: State Key Lab of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China (Yujuan Yue; Dongliang Li; Ying Li; Jun Sun; Jianhua Gong)
Abstract	UAV low-altitude remote sensing develops rapidly. Because of the characteristics such as unstable flight attitude, low-level image automatic matching and large image distortion, there are still just a few successful researches in efficient image stitching and image correction. So this paper takes UAV (Unmanned Aviation Vehicle) image in Jiuyuangou Township, Suide County, Yulin City, Shanxi Province for an example, firstly mosaics images based on SIFT (Scale Invariant Feature Transform) Feature Matching Method, secondly proceeds image geometric correction based on Quadratic Polynomial Method, at last overlays the result image on terrain data of 30 meters resolution, displays three-dimensional map, and views the processing results. Experiments show that SIFT Feature Matching Method and geometric correction based on Quadratic Polynomial Method are feasible for UAV image mosaic and geometric correction.
Starting Page	4528
Ending Page	4530
File Size	481280
Page Count	3
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5536790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Image resolution SIFT Quadratic Polynomial Method Geometric correction Geometrical optics Sun Remote sensing Cities and towns Unmanned aerial vehicles Polynomials Three dimensional displays Optical sensors Mosaic
Content Type	Text
Resource Type	Article

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