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Remote Sens. 2016, 8(10), 842;

A Multi-Resolution Blending Considering Changed Regions for Orthoimage Mosaicking

The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
Heilongjiang Provincial Research Institute of Surveying and Mapping, Harbin 150086, China
Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 101300, China
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz, Xiaofeng Li and Prasad S. Thenkabail
Received: 18 July 2016 / Revised: 28 September 2016 / Accepted: 2 October 2016 / Published: 14 October 2016
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Blending processing based on seamlines in image mosaicking is a procedure designed to obtain a smooth transition between images along seamlines and make seams invisible in the final mosaic. However, for high-resolution aerial orthoimages in urban areas, factors such as projection differences, moving objects, and radiometric differences in overlapping areas may result in ghosting and artifacts or visible shifts in the final mosaic. Such a mosaic is not a true reflection of the earth’s surface and may have a negative impact on image interpretation. Therefore, this paper presents a multi-resolution blending method considering changed regions to improve mosaic image quality. The method utilizes the region change rate (RCR) to distinguish changed regions from unchanged regions in overlapping areas. The RCR of each region is computed using image segmentation and change detection methods. Then, a mask image is generated considering changed regions, and Gaussian and Laplacian pyramids are constructed. Finally, a multi-resolution reconstruction is performed to obtain the final mosaic. Experimental results from digital aerial orthoimages in urban areas are provided to verify this method for blending processing based on seamlines in mosaicking. Comparisons with other methods further demonstrate the potential of the presented method, as shown in a detailed comparison in three typical cases of the seamline passing by buildings, the seamline passing through buildings, and the seamline passing through areas with large radiometric differences. View Full-Text
Keywords: mosaic; blending; change detection; segmentation; multi-resolution mosaic; blending; change detection; segmentation; multi-resolution

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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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Pan, J.; Wang, M.; Cao, X.; Chen, S.; Hu, F. A Multi-Resolution Blending Considering Changed Regions for Orthoimage Mosaicking. Remote Sens. 2016, 8, 842.

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