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Unmanned aerial vehicle aerial photographed image splicing method based on suture line

An image stitching and stitching technology, applied in the field of unmanned aerial vehicles, can solve the problems of not guaranteeing high-efficiency processing of image data, discontinuous stitched images, and high computational complexity, so as to improve algorithm efficiency, reduce computational load, and improve stitching effect. Effect

Active Publication Date: 2017-09-08
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the local discontinuity phenomenon of the mosaic image caused by non-orthographic projection, image registration error, etc., that is, the problem of local 'dislocation'; the calculation complexity is high, and the timeliness is poor , cannot guarantee high efficiency when processing a large amount of image data, the image stitching algorithm must have better timeliness

Method used

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  • Unmanned aerial vehicle aerial photographed image splicing method based on suture line
  • Unmanned aerial vehicle aerial photographed image splicing method based on suture line
  • Unmanned aerial vehicle aerial photographed image splicing method based on suture line

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Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0038] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, the suture-based unmanned aerial vehicle image stitching provided by the embodiment of the present invention includes the following steps:

[0040] S101: Input an image, and calculate the overlapping area, starting point and end point of the image;

[0041] S102: Solve the minimum connected sub-region where the suture line is located;

[0042] S103: Minimize the connected area where the suture line is located;

[0043] S104: In the smallest connected...

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Abstract

The invention belongs to the technical field of an unmanned aerial vehicle, and discloses an unmanned aerial vehicle aerial photographed image splicing method based on a suture line. Through eliminating a shield over an overlapped area, a smallest communicating subarea with the suture line is solved. Furthermore the suture line is searched in the smallest communicating subarea in a shortest path searching mode through recursion backtrack, thereby realizing image splicing. An equidistance line neighborhood searching method is utilized for further reducing the smallest communicating subarea with the suture line, thereby reducing calculation complexity and improving algorithm efficiency. An experiment result proves a fact that the algorithm of the invention can effectively prove a local offset phenomenon in suture line fusion. The unmanned aerial vehicle aerial photographed image splicing method can acquire an accurate spliced image and improves splicing efficiency.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles, and in particular relates to a method for splicing aerial images of unmanned aerial vehicles based on sutures. Background technique [0002] Image mosaic technology forms a wide-angle, high-resolution seamless mosaic image by matching and merging several partially overlapping images. It is widely used in remote sensing and aerial image processing. Hot research directions in the field. In recent years, as a flexible remote sensing platform, UAVs have been widely used in aerial images. The splicing technology of drone aerial images can effectively solve the problem that a single aerial image corresponds to a small scene area, which is not conducive to accurate and comprehensive observation and analysis of ground scenes. It is widely used in dangerous area detection, battlefield real-time detection, and marine environment. Monitoring, natural disaster monitoring and evaluation, et...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/11G06T7/136G06T7/30
CPCG06T5/50G06T7/11G06T7/136G06T7/30
Inventor 田玉敏孙爱风王笛潘蓉吴自力耿文辉
Owner XIDIAN UNIV
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