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Blending zone determination for aerial orthimage mosaicking

机译:航空正射影像镶嵌的融合区域确定

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Creating a composed image from a set of aerial images is a fundamental step in orthomosaic generation. One of the processes involved in this technique is determining an optimal seamline in an overlapping region to stitch image patches seamlessly. Most previous studies have solved this optimization problem by searching for a one-pixel-wide seamline with an objective function. This strategy significantly reduced pixel mismatches on the seamline caused by geometric distortions of images but did not fully consider color discontinuity and mismatch problems that occur around the seamline, which sometimes cause mosaicking artifacts. This study proposes a blending zone determination scheme with a novel path finding algorithm to reduce the occurrence of unwanted artifacts. Instead of searching for a one-pixel-wide seamline, a blending zone, which is a k-pixel-wide seamline that passes through high-similarity pixels in the overlapping region, is determined using a hierarchical structure. This strategy allows for not only seamless stitching but also smooth color blending of neighboring image patches. Moreover, the proposed method searches for a blending zone without the pre-process of highly mismatched pixel removal and additional geographic data of road vectors and digital surface/elevation models, which increases the usability of the approach. Qualitative and quantitative analyses of aerial images demonstrate the superiority of the proposed method to related methods in terms of avoidance of passing highly mismatched pixels. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
机译:从一组航拍图像中创建合成图像是正马赛克生成的基本步骤。该技术涉及的过程之一是确定重叠区域中的最佳接缝线以无缝拼接图像补丁。以前的大多数研究通过搜索具有目标函数的一像素宽的接缝线来解决了此优化问题。该策略显着减少了由于图像的几何变形而导致的接缝线上的像素不匹配,但并未完全考虑到颜色不连续性和接缝周围发生的不匹配问题,这些问题有时会导致镶嵌伪影。这项研究提出了一种混合区确定方案,该方案采用新颖的路径查找算法来减少不必要的伪像的发生。代替搜索一个像素宽的接缝线,而是使用分层结构来确定混合区域,该融合区域是穿过重叠区域中的高相似像素的k像素宽的接缝线。这种策略不仅可以实现无缝拼接,还可以使相邻图像斑块的色彩融合更加流畅。此外,所提出的方法搜索融合区域而无需高度不匹配的像素去除的预处理以及道路矢量和数字表面/高程模型的附加地理数据,这增加了该方法的可用性。航空图像的定性和定量分析表明,在避免传递高度不匹配的像素方面,该方法相对于相关方法具有优越性。 (C)2016国际摄影测量与遥感学会(ISPRS)。由Elsevier B.V.发布。保留所有权利。

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