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Remote Sens. 2017, 9(9), 962; https://doi.org/10.3390/rs9090962

A Simplified Method for UAV Multispectral Images Mosaicking

1
Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
2
The 61206 Troop, PLA, Beijing 100042, China
*
Author to whom correspondence should be addressed.
Received: 31 July 2017 / Revised: 11 September 2017 / Accepted: 13 September 2017 / Published: 17 September 2017
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Abstract

This paper presents a method for mosaicking unmanned aerial vehicle (UAV) multispectral images. The main purpose of the proposed method is to reduce spatial distortion in the mosaicking process and increase robustness and the speed of the operation. Most UAV multispectral images have multiple bands, and in every band, ground targets have a variety of reflection characteristics that will result in diverse feature quality for feature matching. In this research, an information entropy-based evaluation method is used to select the optimal band for feature matching among the UAV images. To produce more robust matching results for the following alignment step, the evaluation method takes the contrast and spatial distribution of the feature points into consideration at the same time. In most common image mosaicking processes, the digital orthophoto map (DOM) is generated to achieve maximum spatial accuracy. During this process, the original image data will experience considerable irregular resampling, and the process is also unstable in some circumstances. The alignment step uses a simplified projection model that treats the ground as planar is provided, by which the alignment parameters are applied directly to the images instead of generating 3D points, to avoid irregular resampling and unstable 3D reconstruction. The proposed method is proved to be more efficient and accurate and has lower spectral distortion than state-of-the-art mosaicking software. View Full-Text
Keywords: Unmanned Aerial Vehicle; image mosaicking; multispectral; feature matching; optimal band Unmanned Aerial Vehicle; image mosaicking; multispectral; feature matching; optimal band
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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 (CC BY 4.0).

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Ren, X.; Sun, M.; Zhang, X.; Liu, L. A Simplified Method for UAV Multispectral Images Mosaicking. Remote Sens. 2017, 9, 962.

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