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ISPRS Int. J. Geo-Inf. 2018, 7(9), 361; https://doi.org/10.3390/ijgi7090361

Automatic Seam-Line Detection in UAV Remote Sensing Image Mosaicking by Use of Graph Cuts

1,2,3,* , 1,2,* , 1
,
1,3
,
1
and
1
1
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
3
School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
*
Authors to whom correspondence should be addressed.
Received: 13 July 2018 / Revised: 17 August 2018 / Accepted: 31 August 2018 / Published: 31 August 2018
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Abstract

Image mosaicking is one of the key technologies in data processing in the field of computer vision and digital photogrammetry. For the existing problems of seam, pixel aliasing, and ghosting in mosaic images, this paper proposes and implements an optimal seam-line search method based on graph cuts for unmanned aerial vehicle (UAV) remote sensing image mosaicking. This paper first uses a mature and accurate image matching method to register the pre-mosaicked UAV images, and then it marks the source of each pixel in the overlapped area of adjacent images and calculates the energy value contributed by the marker by using the target energy function of graph cuts constructed in this paper. Finally, the optimal seam-line can be obtained by solving the minimum value of target energy function based on graph cuts. The experimental results show that our method can realize seamless UAV image mosaicking, and the image mosaic area transitions naturally. View Full-Text
Keywords: graph cuts; unmanned aerial vehicle (UAV); seam-line; image mosaicking graph cuts; unmanned aerial vehicle (UAV); seam-line; image mosaicking
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Li, M.; Li, D.; Guo, B.; Li, L.; Wu, T.; Zhang, W. Automatic Seam-Line Detection in UAV Remote Sensing Image Mosaicking by Use of Graph Cuts. ISPRS Int. J. Geo-Inf. 2018, 7, 361.

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