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Journal of Applied Remote Sensing • Open Access

Algorithm for automatic image dodging of unmanned aerial vehicle images using two-dimensional radiometric spatial attributes
Author(s): Wenzhuo Li; Kaimin Sun; Deren Li; Ting Bai

Paper Abstract

Unmanned aerial vehicle (UAV) remote sensing technology has come into wide use in recent years. The poor stability of the UAV platform, however, produces more inconsistencies in hue and illumination among UAV images than other more stable platforms. Image dodging is a process used to reduce these inconsistencies caused by different imaging conditions. We propose an algorithm for automatic image dodging of UAV images using two-dimensional radiometric spatial attributes. We use object-level image smoothing to smooth foreground objects in images and acquire an overall reference background image by relative radiometric correction. We apply the Contourlet transform to separate high- and low-frequency sections for every single image, and replace the low-frequency section with the low-frequency section extracted from the corresponding region in the overall reference background image. We apply the inverse Contourlet transform to reconstruct the final dodged images. In this process, a single image must be split into reasonable block sizes with overlaps due to large pixel size. Experimental mosaic results show that our proposed method reduces the uneven distribution of hue and illumination. Moreover, it effectively eliminates dark-bright interstrip effects caused by shadows and vignetting in UAV images while maximally protecting image texture information.

Paper Details

Date Published: 12 September 2016
PDF: 10 pages
J. Appl. Rem. Sens. 10(3) 036023 doi: 10.1117/1.JRS.10.036023
Published in: Journal of Applied Remote Sensing Volume 10, Issue 3
Show Author Affiliations
Wenzhuo Li, Wuhan Univ. (China)
Kaimin Sun, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Collaborative Innovation Ctr. of Geospatial Technology (China)
Ting Bai, Wuhan Univ. (China)

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