NDLI: An automatic accuracy evaluation approach of band registration for multi-spectral imagery

Content Provider	IEEE Xplore Digital Library
Author	Ying Zhu Mi Wang Jun Pan
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China (Ying Zhu; Mi Wang; Jun Pan)
Abstract	Considering band misalignment caused by attitude jittering or other factors, band registration becomes the most critical pre-processing step for multispectral imagery as the registration result will directly influence the following applications. So band registration accuracy evaluation is necessary before registered imagery going through the next processing step. This paper proposes an automatic approach to evaluate the band registration accuracy for multi-spectral imagery. The proposed method is based on the theory of image matching, which includes three main steps: 1) feature points detection, and then 2) corresponding points matching, and 3) accuracy evaluation. Experiments are designed for the validation of the proposed approach with RGB image of Toronto in Canada captured by the Microsoft Vexcel's UltraCam-D (UCD) camera, in which quantitative analyses are applied to assess the accuracy and reliability of the method. And evaluation result for multi-spectral images of satellite, i.e., ZiYuan-3, by this method were presented. The result shows that the proposed method can automatic evaluate band registration accuracy for multi-spectral imagery accurately, efficiently and objectively.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	1481
Ending Page	1484
File Size	567214
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Feature extraction Satellites Cameras Image matching Reliability Correlation coefficient multi-spectral image image matching sub-pixel matching band registration accuracy evaluation
Content Type	Text
Resource Type	Article

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